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Postdoctoral position in data-driven cortical microcircuit modeling at Hay lab (CAMH, University of Toronto)
by Etay Hay 06 Feb '25

06 Feb '25

Hay lab is looking for applicants for a postdoctoral position in modeling large-scale spiking activity (neuropixels) from prefrontal cortex in rodents in health and chronic stress in collaboration with Weizmann Institute of Science. Applicants should have experience in python, modeling, detailed conductance-based neuron and microcircuit models. The position is anticipated to start in spring-summer 2025, with duration of 2 years. Interested applicants should send their CV to Dr. Etay Hay, at: etay.hay(a)camh.ca<mailto:etay.hay@camh.ca> Hay lab is located at the Krembil Centre for Neuroinformatics, within Centre for Addiction and Mental Health, and is fully affiliated with the University of Toronto and Max Planck Institute in Toronto. The centre is located in downtown Toronto. CONFIDENTIALITY NOTICE: This e-mail message, including any attachments, is for the sole use of the intended recipient(s) and may contain confidential and privileged information. Any unauthorized review, use, disclosure or distribution is prohibited. If you are not the intended recipient, please contact the sender by reply e-mail and destroy all copies of the original message. AVIS DE CONFIDENTIALITÉ : Ce message électronique, ainsi que tout fichier qui y est joint, est reserve à l'usage exclusif du destinataire visé et peut contenir des renseignements confidentiels et privilégiés. Toute lecture, utilisation, divulgation ou distribution non autorisée est interdite. Si vous n'êtes pas le destinataire visé, veuillez en aviser l'expéditeur par retour de courriel et détruire toutes les copies du message original.

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Postdoc in Computational Neuroscience at the University of Essex (UK)
by De Feo, Vito 06 Feb '25

06 Feb '25

Dear colleagues, We are looking for a candidate with a quantitative background who has completed (or is about to complete) a PhD in a quantitative field for a post-doctoral position within the RESTED (REbalancing circadian rhythms in Sleep and heart rate To Ease Dissociative symptoms) project in order to model the links between Mental Health and SCRD (sleep and other circadian rhythm disturbances). Underlying the project is evidence that feelings of dissociation are strongly associated with sleep disorders and are a transdiagnostic risk factor for the development of depression, anxiety and psychosis. However, no one has investigated the role of dissociative symptoms in the links between SCRD (sleep and other circadian rhythm disorders) and MH (mental health). We propose to model how fluctuations in sleep and heart rate are related to fluctuations in dissociation, depression, anxiety and psychosis. Based on this understanding, our vision is to prevent the clinical course of these symptoms with low-cost interventions that improve sleep and heart rate. Specifically, in RESTED we want to determine cross-sectional and longitudinal associations between sleep, heart rate and symptoms of dissociation, depression, anxiety and psychosis in adolescents and young adults. In addition, we want to develop novel circadian biomarkers, sleep detection technologies and analytical approaches to model bidirectional associations between sleep, autonomic function and daily fluctuations in cognition and emotion. To do this, we will use Mediation Analysis, Granger Causality and Directed Information. Finally, we will use Explainable AI methods, and Machine Learning models to predict mental health variables from circadian variables. The PostDoc will be based at the University of Essex School of Computer Science and Electronic Engineering (CSEE) although the candidate will join our entire interdisciplinary team working in collaboration with the University of Sussex, Birmingham and the NHS. The University of Essex houses the Centre for Brain Science and various BCI laboratories, with access to state-of-the-art EEG and EMG equipment, computer-controlled electrical and mechanical stimulators and other devices to optimally measure sensory, motor and associated cortical activity. CSEE, ranked 6th in the UK as research power in the last REF, has several laboratories including one of the best BCI laboratories in Europe and a Health AI laboratory, and international collaborations with prestigious foreign research institutes including the Biotech campus of EPFL Geneva and the Institute of Neuroinformatics at ETH Zurich. Duties of the role To analyse data collected in pre-existing databases using statistical analysis techniques such as mediation analysis. To organise the data collected from participants using health bands (actigraphy, ECG, etc.) To use statistical and AI techniques to model causal relationships between the phenomena described in the project description.• To implement a sleep stages classifier using machine learning and deep learning techniques. To summarise the results obtained and participate in the writing of scientific publications. To undertake or manage practical elements of research such as setting up and conducting experiments, developing questionnaires and conducting fieldwork, recording data and identifying trends or patterns. To produce research outputs for publication at acceptable levels of volume and academic excellence and disseminate the result of research and scholarship through appropriate Knowledge Exchange activities (such as at relevant national and international conferences and scholarly publications not intended for the REF). To contribute to the development and maintenance or research resources (examples of which include household surveys, databases, specialist equipment and infrastructure, software packages and computer models) used within the Department or wider user community external to the Department. To, supervise and/or mentor postgraduate research students into relevant communities of research at Essex as appropriate to the departmental context to generate meaningful connections between research and education at Essex. Skills and qualifications required Applicants are expected to hold a PhD in a relevant field (engineering, mathematics, computer science or physics), or be close to completion of PhD. You will have the ability and willingness to complement and enhance the research project/department/school’s education and research strengths and areas of planned development. Strong communication skills, both written and verbal are also essential for the post. Specific knowledge and skills are also required: - Strong mathematical and programming skills. - Wide and documented experience in Signal Processing, Machine Learning, Deep Learning and Data Analysis - Experience with physiological signal analysis or expertise in computational neuroscience. - Proficiency in MATLAB or Python. - Demonstrated ability to work independently and overcome complex technical challenges. For more information about the position please contact Dr Vito De Feo vito.defeo(a)essex.ac.uk To apply: https://vacancies.essex.ac.uk/tlive_webrecruitment/wrd/run/ETREC107GF.open?… Best wishes, Vito Dr. Vito De Feo Lecturer in Health Artificial Intelligence for Brain and Mental Health Artificial Intelligence Team and Consumer Neuroscience Research Cluster Future Health Technology and Brain-Computer Interfaces laboratories, School of Computer Science and Electronic Engineering, University of Essex, Wivenhoe Park, Colchester CO4 3SQ, UK

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2025 School on Analytical Connectionism: Call for applications
by Lin, I-Chun 06 Feb '25

06 Feb '25

Topical focus: Bias in learning 25 August - 5 September 2025, London www.analytical-connectionism.net/school/2025<http://www.analytical-connectionism.net/school/2025> Apply by 18 April 2025 We are delighted to announce the 3rd edition of the School on Analytical Connectionism. This 2-week course will focus on analytical tools, including methods from statistical physics and probability theory, for probing neural networks and higher-level cognition. This course is appropriate for graduate students, postdoctoral fellows and faculty in fields from psychology and neuroscience, to physics, computer science, and mathematics. The course will bring together neuroscience, psychology, and machine-learning communities, introducing participants to connectionist theories of higher-level cognition and psychology as well as analytical methods for neural-network analysis. Participants will work in teams, mentored by course lecturers and organisers, to develop novel research projects on topics related to analytical connectionism. Participants will present the research proposals in Week 1 and interim results at the end of the course. Confirmed Faculty: * Rémi Monasson (CNRS/ENS) * Tim Rogers (University of Wisconsin-Madison) * Tali Sharot (UCL/MIT) * Merav Ahissar (Hebrew University of Jerusalem) * Xuechunzi Bai (University of Chicago) * Marco Baity-Jesi (Eawag) * Mathew Diamond (SISSA) * Lasana Harris (UCL) * Tiago Maia (University of Lisbon) * Angela Radulescu (Icahn School of Medicine at Mt. Sinai) * Levent Sagun (FAIR) * Fanny Yang (ETHZ)

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New Frontiers in Associative Memories workshop at ICLR 2025
by Dmitry Krotov 05 Feb '25

05 Feb '25

Dear Friends and Colleagues, We would like to advertise the call for papers for the New Frontiers in Associative Memories workshop at ICLR 2025. New architectures and algorithms, memory-augmented LLMs, energy-based models, Hopfield networks, associative memory and diffusion, and many other exciting topics. Please consider sharing this information with your students, postdocs, and anyone who might be interested. Website: https://nfam.vizhub.ai Submissions via Open Review: https://openreview.net/group?id=ICLR.cc/2025/Workshop/NFAM Deadline: February 14, 2025 EOD AOE Best wishes, Julia Kempe, Dmitry Krotov, Hilde Kuehne, Dan Lee, Sara Solla

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Workshop on Themes across Control and Reinforcement Learning (24-25 March, 2025), at CWI, Amsterdam, Netherlands
by Aditya Gilra 05 Feb '25

05 Feb '25

Dear all, We invite registrations for a workshop on Themes across Control and Reinforcement Learning: https://www.cwi.nl/en/events/cwi-research-semester-programmes/workshop-them… Control theory and reinforcement learning converge on a shared objective: facilitating autonomous, real-time decision-making to optimize dynamical processes. Historically, these disciplines have diverged in assumptions regarding available prior information and in analytical techniques applied. However, recent advances bridging the two domains are fostering collaborations. As part of a research semester on Control Theory and Reinforcement Learning at CWI, Amsterdam, NL, we have a workshop on broad themes across these topics.Date: 24-25 March 2025Venue: CWI (Research Institute for Mathematics and Computer Science), Amsterdam, Netherlands We have a line-up of renowned speakers:Ann Nowé, Vrije Universiteit Brussel, BelgiumBert Kappen, Radboud Univ, Nijmegen, NetherlandsDavide Grossi, Univ of Amsterdam, University of Groningen, NetherlandsFrans Oliehoek, TU Delft, NetherlandsHarri Lähdesmäki, Aalto University, FinlandJens Kober, TU Delft, NetherlandsSean Meyn, Univ. of Florida, USASofie Haesert, Eindhoven University of Technology, Netherlands Please register at the earliest!https://www.cwi.nl/en/events/cwi-research-semester-programmes/workshop-themes-across-control-and-reinforcement-learning/ Looking forward to seeing you!Organizers of the research semester programme. Download and advertise the poster.

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Save the Date! COMPLEX NETWORKS 2025 – December 9-11, Binghamton, New York, USA
by Hocine Cherifi 05 Feb '25

05 Feb '25

The *14th International Conference on Complex Networks & Their Applications (COMPLEX NETWORKS 2025)* will take place in *Binghamton, New York, USA, from December 9 to 11, 2025*! This annual event brings together *leading researchers, practitioners, and industry experts* to discuss cutting-edge advances in *network science, graph machine learning, complex systems and computational social science*. *📌** Key Details* 📅 *Conference Dates:* December 9-11, 2025 🎓 *Tutorials:* December 8, 2025 📍 *Location:* Binghamton, New York, USA 📖 *Proceedings Published by Springer* Stay tuned! The *Call for Papers* will be officially launched soon, inviting submissions in *network science, graph learning, social networks, biological systems, smart cities, and more*. Mark your calendar, and don’t miss this exciting opportunity to share your research with the global community! 📩 *Want to stay updated?* visit https://complexnetworks.org/ Best regards, *COMPLEX NETWORKS 2025 Organizing Committee*

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CAJAL course on Neuroscience and AI, 14 Jul - 1 Aug, 2025, Lisbon
by Sinz, Fabian 04 Feb '25

04 Feb '25

Dear colleagues, We are organizing a new CAJAL Course on Neuroscience and AI. The course is an exciting opportunity for early-career researchers interested in NeuroAI. This intensive course will provide participants with hands-on training in deep learning, computational modeling, and AI-driven approaches to neuroscience research. Participants will work with an exciting line-up of world-class faculty to explore how AI can help model and understand brain function and behavior. 📅 Course Dates: 14 July - 1 August 2025 📍 Location: Champalimaud Foundation, Lisbon, Portugal ⏳ Application Deadline: March 7th 2025 💡 Stipends are available 🔗 Apply here: https://form.jotform.com/Cajal_training/neuroai-2025-applications Course Directors: Fabian Sinz - Georg August University Göttingen, Germany Leyla Isik - Johns Hopkins University, USA Mariya Toneva - Max Planck Institute for Software Systems, Germany Srini Turaga - HHMI Janelia Research Campus, USA Faculty Include: Jacob Yates – UC Berkeley, USA Martin Schrimpf – EPFL, Switzerland Maria Eckstein – Google DeepMind, UK Patrick Mineault – Amaranth Foundation, USA Carsen Stringer – HHMI Janelia Research Campus, USA Chris Summerfield – Oxford University, UK John Krakauer – Champalimaud, Portugal Memming Park – Champalimaud, Portugal Andreas Tolias – Stanford, USA Jonathan Pillow – Princeton University, USA Shailee Jain – UC San Francisco, USA Through hands-on tutorials and project work, participants will gain expertise in: Deep learning for vision and language (CNNs, transformers) Reinforcement learning algorithms State space models for neural time series Machine learning for biophysical models of neuronal circuits Please share with anyone who might be interested! Thanks for helping us spread the word! On behalf of the organizers, — Fabian Sinz — Dr. Fabian Sinz Professor for Machine Learning, Göttingen University Adjunct Assistant Professor, Baylor College of Medicine https://sinzlab.org/

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postdoc in energetics of cognition (U Montréal)
by Becket Ebitz 03 Feb '25

03 Feb '25

The Noise lab (PI: Becket Ebitz) at the Université de Montréal is looking for postdoctoral research associates for a project focused on understanding the energetics of exploratory behavior in humans and rhesus macaques. The project is focused on identifying links between statistical measures of the dynamics of cognitive states and the metabolic demands of the brain and body. We know that a diversity of perspectives improves and invigorates our work and we encourage applications from people from all backgrounds and with all identities. *About the environment:* We are a systems/cognitive neuroscience lab working on decision-making and executive function. The lab is highly sociable, values kindness, cooperation, and a good work-life balance, and covers costs related to professional development, conference travel, computers and supplies, and eligible moving expenses. We prize collaboration and most projects in the lab are led by teams of students and postdocs who are excited about sharing their skills and expertise. More information about our research is available on our website (http://ebitzlab.com) and in our recent papers. The lab is located in the Department of Neurosciences at the Université de Montréal (UdeM) and part of a number of research centers, including the Centre Interdisciplinaire de Recherche sur le Cerveau et l’Apprentissage (CIRCA; Center for interdisciplinary research on the brain and learning) and Unifying Neuroscience-AI Quebec (UNIQUE). UdeM is one of the top research institutions in Canada and is especially well known for its work in data science, machine learning and AI (i.e. the world-renowned Mila Research Institute and IVADO, a $210 million Canada-First Research Excellence Fund program). The ideal candidate will be excited about building connections and collaborations across campus. *Position details:* Research projects in the lab involve behavioral and physiological experiments in humans, large-scale electrophysiology studies in the rhesus macaque, and computational modeling. We are open to candidates who are excited to focus on any and all of these techniques. This specific project is funded by the US Air Force Office of Scientific Research. Its goal is to understand how and why high-stress, energetically-demanding environments compromise cognitive flexibility. The project will build on computational and experimental techniques we developed in the lab to measure the neural computations involved in cognitive flexibility and characterize their energetic costs in the brain and body. The ideal candidate(s) will be excited to take the lead on their project(s), coordinating with technical staff, other students and postdocs, the PI, and other collaborators for support as needed. There are opportunities for international collaboration, including in analyzing human intracranial recording data, patient behavioral and/or imaging data, and rodent fiber photometry data. The postdoctoral researcher will also have opportunities to mentor undergraduate and graduate students and to participate in professional development activities related to their long-term career goals. *Basic Qualifications:* - PhD expected or obtained in Neuroscience, Psychology, or Physiology, or computationally-intensive field (i.e. Math, Physics, or Engineering). - A record of academic productivity including several conference presentations and at least one manuscript in press. *Preferred Qualifications:* - Extensive programming experience (ideally with Matlab and/or Python). - Previous experience in collecting and analyzing neurophysiology data. - If working with NHPs, previous experience with NHPs or other large mammals. - Familiarity with dynamical systems theory, control theory, and/or linear algebra. - Solid written and oral communication skills in English. *How to Apply:* Please send a pdf of your CV to becket(a)ebitzlab.com. In your email, please describe 1) why you are interested in the position, and 2) your previous research. We will begin reviewing applications immediately and continue until the positions are filled. The start date is negotiable.

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Save the Date: International Artificial Intelligence Summer School – IAISS 2025, Sept 21-25, Riva del Sole Resort & SPA @ Tuscany * Early Registration: by 23 March *
by ICAS Organizing Committee 03 Feb '25

03 Feb '25

* Apologies for multiple copies. Please forward to anybody who might be interested, thanks. * SAVE THE DATE: IAISS 2025 Early Registration: by 23 March #IAISS2025, A Residential Summer School in AI & Generative AI for Science and Engineering IAISS 2025 is a full-immersion 5-day Summer School in Tuscany on cutting-edge advances in AI and Generative AI with lectures delivered by world-renowned experts. Riva del Sole Resort & SPA @ Tuscany, Italy, Sept 21-25, 2025 https://2025.iaiss.cc iaiss(a)icas.cc EARLY REGISTRATION: by March 23 (AoE) https://2025.iaiss.cc/registration/ Oral Presentation Submission Deadline: by March 23 (AoE) Applicant *may* submit (during the Registration Process) a research abstract (max 2 pages; any format) for presentation. School directors and the scientific committee will review the abstracts and will recommend for poster and/or short talk. Abstract must be submitted by Sunday March 23, 2025 during the registration process. LECTURERS: Each Lecturer will hold up to four lectures on one or more research topics. Yuki Asano, University of Technology Nuremberg, Germany Pierre Baldi, University of California, Irvine, CA, USA Lucas Beyer, OpenAI, Zürich, Switzerland Wessel Bruinsma, Microsoft Research Amsterdam, The Netherlands Sam Buchanan, Toyota Technological Institute at Chicago, USA Floris Geerts, University of Antwerp, Belgium Sven Giesselbach, Fraunhofer Institute - IAIS, Germany & Telecom Systems Chin-Wei Huang, Microsoft Amsterdam, The Netherlands Vicky Kalogeiton, École Polytechnique Paris, France Thomas Kipf, Google DeepMind, USA Yi Ma, University of California, Berkeley, USA Abigail See, Google DeepMind, London, UK Michal Valko, Meta Paris, France More Speakers TBA TUTORIAL SPEAKERS: Druv Pai, University of California, Berkeley, USA Yaodong Yu, University of California, Berkeley, USA Peng Wang, University of Michigan, Ann Arbor, USA https://2025.iaiss.cc/lecturers/ https://2025.iaiss.cc/lectures/ VENUE: https://2025.iaiss.cc/venue/ Riva del Sole Resort & SPA Località Riva del Sole‚ Castiglione della Pescaia (Grosseto) CAP 58043‚ Tuscany‚ Italy p: +39-0564-928111 e: booking.events(a)rivadelsole.it w: https://www.rivadelsole.it/en/ REGISTRATION: https://2025.iaiss.cc/venue/ CERTIFICATE & 8 ECTS: The International Artificial Intelligence Summer School – IAISS 2025 is a full-immersion five-day Summer School at the Riva del Sole Resort & SPA (Castiglione della Pescaia – Grosseto – Tuscany, Italy) on cutting-edge advances in AI and Generative AI with lectures delivered by world-renowned experts. The Summer School provides a stimulating environment for PhD students, Post-Docs, junior academics (only up to assistant professors), early career researchers, and industry leaders (and highly motivated, promising and brilliant Master students / BSc students). Participants will also have the chance to present their results with talks, and to interact with their colleagues, in a convivial, professional and productive environment. PhD students, PostDocs, Industry Practitioners and Junior Academics (only up to assistant professors) will be typical profiles of the IAISS attendants. The Summer School will involve a total of 36–40 hours of lectures, according to the academic system the final achievement will be equivalent to 8 ECTS points for the PhD Students (and some strongly motivated Master Student – BSc Student) attending the Summer School. Language: English. To participate in the IAISS 2025, all attendants must (1/2) register for the school (by March 23, 2025) and (2/2) book accommodation at the school venue, “Riva del Sole Resort & SPA” (by July 23, 2025); all attendants must stay at the “Riva del Sole Resort & SPA”. Once accommodation has been booked at “Riva del Sole Resort & SPA“, the participant must send this information (including the Booking Number) to the IAISS organizing committee (iaiss(a)icas.cc) IAISS is a residential school, so all lecturers and participants must reside in the same Hotel (Riva del Sole Resort & SPA). No exceptions are made. For privacy reasons, the Hotel cannot match people. If you have someone to share the apartment with, please send to the Hotel ( booking.events(a)rivadelsole.it ) the name, surname and email address. Otherwise the solution is to book an apartment in single use. IAISS is organized as a non-profit scientific event. Please note that only IAISS registered participants can book a room (in hotel or apartment) at the Riva del Sole Resort & SPA with the accommodation form attached in the registration email and with the IAISS Discounted Rates. The Booking Office of the Riva del Sole Resort & SPA will verify the names of the participants and the corresponding registration number to confirm the booking. Anyone interested in participating in IAISS 2025 should register as soon as possible: https://2025.iaiss.cc/registration/ See you in Riva del Sole in September! IAISS 2025 Organizing Committees. https://2025.iaiss.cc iaiss(a)icas.cc Obviously, this is only a Call for Participation, to have complete and updated information we recommend you access the relevant website: https://2025.iaiss.cc the News Section: https://2025.iaiss.cc/category/news/ and the FAQ: https://2025.iaiss.cc/faq/ * Apologies for multiple copies. Please forward to anybody who might be interested, thanks * *8th Advanced Course on Data Science & Machine Learning - ACDL 2025, **9**-13 June*, Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) – Tuscany, Italy *An Interdisciplinary Residential Course: from Deep Learning to Generative Artificial Intelligence* *Early Registration: by February 23, 2025 (AoE)* https://acdl2025.icas.events/registration/ https://acdl2025.icas.events/ acdl(a)icas.cc The Course is equivalent to 8 ECTS points for the PhD Students and the Master Students attending the Course. *11th International Conference on Learning, Optimization and Data – LOD 2025, *21–24 September Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) Tuscany, Italy https://lod2025.icas.events/ lod(a)icas.cc *5th Advanced Course ** and Symposium **on Artificial Intelligence and Neuroscience – ACAIN 2025,* 21–24 September Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) Tuscany, Italy https://acain2025.icas.events/ acain(a)icas.cc *Symposium **Author Registration Deadline: March 23 * *Course Early Registration Deadline: March 23* The Course is equivalent to 8 ECTS points for the PhD Students and the Master Students attending the Course. *ICAS - The Interdisciplinary Centre of Advanced Studies* *https://icas.cc/* <https://icas.cc/>

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PhD opportunity in Astrocyte-Neuron computational modelling- Deadline 24th Feb
by Flanagan, Bronac 03 Feb '25

03 Feb '25

The Intelligent Systems Research Centre (ISRC) at Ulster University is advertising a funded PhD position for a project titled "Unlocking the Brain's Balance: Understanding Astrocyte Influence on Neural Communication Through Computer Modelling." This cutting-edge research project at Ulster University dives into one of the brain's most fascinating mechanisms: the conversation between brain cells that keeps our minds healthy and functioning. Our brains are incredibly complex networks where different types of cells work together in perfect harmony. At the centre of this research are astrocytes - star-shaped brain cells that act as the brain's supervisors. These cells manage a crucial molecule called GABA through a specialised transporter (GAT-3), which acts like a traffic controller for brain signals. When this system doesn't work properly, it can lead to various conditions that affect millions worldwide, including epilepsy, schizophrenia, and autism spectrum disorder (ASD). What We'll Do Using advanced computer modelling, this project will create detailed models of how brain cells interact, study how GABA levels affect brain circuit behaviour and investigate how changes in this system might lead to neurological conditions. Throughout this PhD, you'll gain expertise in: * Computational neuroscience modelling * Biophysical modelling of cellular processes * Scientific programming and version control * Collaboration with experimental neuroscientists More details about this position are available at Unlocking the Brain's Balance: Understanding Astrocyte Influence on Neural Communication Through Computer Modelling<https://www.ulster.ac.uk/doctoralcollege/find-a-phd/11b-intelligent-systems…> For more information about the research environment at ISRC, visit About Intelligent Systems Research Centre<https://www.ulster.ac.uk/research/topic/computer-science/intelligent-system…> The PhD position is at Ulster University's Derry campus, one of the UK's top 10 research institutions. Recently named 'University of the Year 2024' by Times Higher Education, Ulster University is now the highest-ranked higher education institution in the UK and Ireland. The historic city of Derry, situated on the River Foyle in Northwest Northern Ireland, offers an ideal location between the Wild Atlantic Way and Causeway Coast. Its rich cultural heritage, vibrant atmosphere, and numerous family activities make it an excellent place to live. Please contact Bronac (b.flanagan(a)ulster.ac.uk<mailto:b.flanagan@ulster.ac.uk>) if you are interested or have questions. Should you receive this email outside of business hours, no reply is required until the next working day This email and any attachments are confidential and intended solely for the use of the addressee and may contain information which is covered by legal, professional or other privilege. If you have received this email in error please notify the system manager at postmaster(a)ulster.ac.uk and delete this email immediately. Any views or opinions expressed are solely those of the author and do not necessarily represent those of Ulster University. The University's computer systems may be monitored and communications carried out on them may be recorded to secure the effective operation of the system and for other lawful purposes. Ulster University does not guarantee that this email or any attachments are free from viruses or 100% secure. Unless expressly stated in the body of a separate attachment, the text of email is not intended to form a binding contract. Correspondence to and from the University may be subject to requests for disclosure by 3rd parties under relevant legislation. The Ulster University was founded by Royal Charter in 1984 and is registered with company number RC000726 and VAT registered number GB672390524.The primary contact address for Ulster University in Northern Ireland is Cromore Road, Coleraine, Co. Londonderry BT52 1SA

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