March 2023 - Comp-neuro - lists.cnsorg.org

Python Package: SER model
by Fabrizio Damicelli 08 Aug '24

08 Aug '24

Dear Computational Neuroscience Community, I would like to point you to a potentially useful Python Package that might be of interest for your research, especially in the realm dynamical models and spreading dynamics on networks. "ser": S(usceptible)E(xcited)R(efractory) model on graphs, a dynamical model of spreading excitations. Code Repository: https://github.com/fabridamicelli/ser As of today, a few people already trust it and the package registers >11K total downloads, ~500/month (pypi.org) and has been used already in a few research projects. A few interesting features: - It is light-weight and fast (`numba` accelerated), i.e. many experiments can be simply run on a laptop - Installation and getting started is easy: `pip install ser` - Example notebooks: https://github.com/fabridamicelli/ser/blob/main/examples The SER model is a classical cellular automaton model used to study all sorts of complex systems, ranging from forest fire dynamics to self-organized criticality in the brain. Despite of the simplicity of its setup, it is capable of generating complex emergent dynamics with absolutely non-trivial higher-order statistical properties. To learn more about the SER model and its applications, you might want to check out these references: - Messe et al. (2018). Toward a theory of coactivation patterns in excitable neural networks. doi.org/10.1371/journal.pcbi.1006084 - Haimovici et al. (2013). Brain Organization into Resting State Networks Emerges at Criticality on a Model of the Human Connectome. doi.org/10.1103/PhysRevLett.110.178101 - Damicelli et al. (2019). Topological reinforcement as a principle of modularity emergence in brain networks. doi.org/10.1162/netn_a_00085 Check it out and any feedback/suggestions/bug reports are more than welcome (simply open an issue: https://github.com/fabridamicelli/ser/issues) All the best, Fabrizio Damicelli

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Postdoc Position in Moral Artificial Intelligence (Jointly sponsored by Duke and CMU)
by Dr Jana Schaich Borg, Ph.D. 11 Mar '24

11 Mar '24

Postdoc available in our interdisciplinary Moral AI group! Description: We have an opening for a joint two-year postdoctoral position at the School of Computer Science at Carnegie Mellon University and the Social Science Research Institute, Duke Institute for Brain Sciences, and Kenan Institute for Ethics at Duke University (with the possibility of renewal for a third year). The postdoc can be employed through any of these departments in either University, depending on their preference. The candidate is expected to live in either Pittsburgh or Durham depending on their chosen home department, but will be asked to travel occasionally to the other location. The focus of the position is on conducting impactful research on moral artificial intelligence, addressing problems such as: Designing artificial intelligence systems to model and predict human moral judgments Designing effective elicitation mechanisms and interfaces to capture moral preferences Developing techniques for implementing and evaluating AI systems that are based on these modeled preferences, and assessing the dynamic impact of these systems on the preferences and behavior of users who interact with them Qualifications: Applicants should hold a Ph.D. in computer science, statistics, mathematics, computational neuroscience, computational cognitive science, or related technical fields and have expertise in Machine Learning and AI / statistics / data science. Additional background in moral psychology, moral philosophy, (AI or other) ethics, HCI, social decision-making and/or social science is preferred, but not required. Interested applicants should apply online <https://apply.interfolio.com/113237> <https://apply.interfolio.com/113237> (https://apply.interfolio.com/113237) or contact Dr. Jana Schaich Borg via email (js524(a)duke.edu) including a CV and statement of research interests, and the name of three referees that can provide letters of recommendation. We are strongly committed to a diverse academic environment and place high priority on attracting underrepresented candidates.

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Call for Visiting Scholars in Theoretical Sciences at OIST (Application by August 15)
by Kenji Doya 21 Oct '23

21 Oct '23

We are pleased to announce Visiting Scholars in Theoretical Sciences at OIST for a flexible term of 1 to 12 months as below. ***** As part of an initiative to develop a vibrant program in theoretical sciences, OIST invites applications for Visiting Scholars in the Theoretical Sciences. The Okinawa Institute of Science and Technology (OIST) is a research institution with a Ph.D. program. Outstanding graduate students and faculty are being attracted internationally. OIST is beautifully situated on the tropical island of Okinawa, Japan. Applicants should have a Ph.D. in a relevant field and be independent researchers, i.e., should have an academic standing equivalent to senior postdoc, junior group leader, or faculty member at a research-intensive institution. The position has a flexible term of 1 to 12 months taken continuously starting between October 2021 and March 2022 with a preference for longer-term visitors. The appointment may be taken while on leave or sabbatical from another university and comes with housing, research funds, and moving allowance. Successful candidates will be eligible to apply for support with salary, where this is necessary to facilitate the visit. No teaching duties come with the position. OIST is an institution with no departments, aiming to eliminate barriers between people working in different fields. It provides a family-friendly working environment including the multilingual Child Development Center and has proactive policies designed to promote a culture of diversity. OIST is an equal opportunity, affirmative action educator, and employer. Further details can be found at https://www.oist.jp/. Applicants should submit a CV including a list of publications, a brief description of their research to date and proposed research while visiting OIST, and the desired period of visit. All visits are subject to the availability of funding. Applications received by August 15, 2021, are guaranteed full consideration. If you have any questions, please send inquiries to: tsvp(a)oist.jp To apply, please go to our Interfolio page, http://apply.interfolio.com/88541 ---- Kenji Doya <doya(a)oist.jp> Neural Computation Unit, Okinawa Institute of Science and Technology Graduate University 1919-1 Tancha, Onna, Okinawa 904-0495, Japan Phone: +81-98-966-8594; Fax: +81-98-966-2891 https://groups.oist.jp/ncu

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Faculty position at Cold Spring Harbor Laboratory in computational neuroscience
by Benjamin Cowley 28 Aug '23

28 Aug '23

Hi all, Cold Spring Harbor Laboratory has an open search for a faculty position in computational/theoretical neuroscience. Applications are due Nov. 15, 2022. https://www.cshl.edu/about-us/careers/faculty-positions/ Here is the job description: Cold Spring Harbor Laboratory (CSHL) is seeking to fill a faculty position in the area of COMPUTATIONAL/THEORETICAL NEUROSCIENCE. Of particular interest to this search are candidates with expertise in computational and theoretical neuroscience, machine learning, and artificial intelligence. The successful candidate will have an outstanding record of research achievement and an innovative research program. They will join a highly interactive and collaborative neuroscience group working on neural circuits, neural development, neurogenetics, theoretical and computational neuroscience, artificial intelligence, synaptic function, brain disorders, rodent cognition, perception, and social behavior. Preference will be given to applicants at the Assistant Professor level, but outstanding candidates at all career stages will be considered. Cold Spring Harbor Laboratory is a world-renowned research and educational institution with programs in cancer, neuroscience, plant biology, genomics, and quantitative biology. Located on the North Shore of Long Island 30 miles from New York City, the Laboratory has a rich and successful research environment rooted in interdisciplinary collaboration as well as an innovative graduate school that attracts talented students each year. CSHL is committed to fostering a diverse work environment that values best practices in mentorship, equity, and inclusion. Successful candidates will be expected to establish productive research programs while mentoring diverse groups of students and postdocs. Applications are strongly encouraged from groups historically underrepresented in science, including women and U.S. racial/ethnic minority populations. To apply, please submit a cover letter, CV, description of research accomplishments, statement of future research plans, and a statement of diversity & mentoring to: https://cshl.peopleadmin.com/postings/20153 Position ID 03299-R; letters of reference will be requested separately. The statement of diversity & mentoring should describe a candidate’s mentoring philosophy, contributions to equity and inclusion in science, and prior training (as applicable) in mentoring, academic management/leadership, and antidiscrimination/antiracism. We will begin considering applications on a rolling basis on October 5, 2022, and applications will be considered until *November 15*. Inquiries regarding the search should be directed to: CSHLfacultyjobs(a)cshl.edu

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Call for paper: The 16th International Conference on Brain Informatics (BI'23) in Hoboken NJ & NYC (Aug 1-3 2023)
by Feng Liu 31 Mar '23

31 Mar '23

+++++++++++++++++++++++++++++++++++++++++++++++++++++++++ CALL FOR PAPERS *The 16th International Conference on Brain Informatics (BI'23)* August 1 - 3, 2023 Hoboken & New York – USA The key theme: Brain Science meets Artificial Intelligence A Hybrid Conference with both Online and Offline Modes Conference homepage: www.wi-consortium.org/conferences/bi2023/ +++++++++++++++++++++++++++++++++++++++++++++++++++++++++ *** IMPORTANT DATES *** * 01 May 2023: Full paper submission deadline * 20 May 2023: Workshop proposal deadline * 01 Jun 2023: Abstract presentation submission deadline **** Confirmed Keynote Speakers **** - *Professor Emery N. Brown* Member of the National Academy of Sciences Member of the National Academy of Engineering Member of the National Academy of Medicine MIT, Massachusetts General Hospital, USA - *Professor Bin He* Fellow of International Academy of Medical and Biological Engineering (IAMBE) Fellow of American Institute of Medical and Biological Engineering (AIMBE) Fellow of Biomedical Engineering Society (BMES), and IEEE Member of the National Academy of Inventors Carnegie Mellon University, USA - *Professor John Ngai* Director of NIH BRAIN Initiative NIH BRAIN Initiative, USA - *Professor Helen Mayberg* Member of the National Academy of Sciences Member of the National Academy of Medicine Member of the National Academy of Inventors Member of the American Academy of Arts and Sciences Mount Sinai Medical Center, USA - *Professor Vinod Goel* Author of monographs: “Sketches of thought” and “Reason and Less: Pursuing Food, Sex, and Politics” Dept. of Psychology, York University, Canada - *Professor Amy Kuceyeski* Director of Computational Connectomics (CoCo) at Weill Cornell Medicine, Cornell University, USA *** Local information *** *The location of the BI2023 in the beautiful campus of Stevens Institute of Technology in Hoboken, New Jersey, located on the west bank of Hudson River overlooking Manhattan. Stevens is close to a group of finest universities such as Princeton University (1.5 hours drive), Columbia University (25 min drive), New York University (20 min drive) and Yale University (1h 40 min drive). *Convenient transportation: (1) Nearby there are three major airports: Newark, JFK, and LaGuardia with direct flights to all major cities in the world. (2) 15 minutes to Time Square by bus. *An economic accommodation option: $100 dorm room option is available in the newly completed University Complex Center Building with a view of Manhattan (limited spaces) ***About the conference*** The International Conference on Brain Informatics (BI) series has established itself as the world's premier research conference on Brain Informatics, which is an emerging interdisciplinary and multidisciplinary research field that combines the efforts of Cognitive Science, Neuroscience, Machine Learning, Data Science, Artificial Intelligence (AI), and Information and Communication Technology (ICT) to explore the main problems that lie in the interplay between human brain studies and informatics research. The 16th International Conference on Brain Informatics (BI'23) provides a premier international forum to bring together researchers and practitioners from diverse fields for presentation of original research results, as well as exchange and dissemination of innovative and practical development experiences on Brain Informatics research, brain-inspired technologies and brain/mental health applications. *** Topics and Areas *** The key theme of the conference is "Brain Science meets Artificial Intelligence". The BI'23 solicits high-quality original research and application papers (full paper and abstract presentation submissions). Relevant topics include but are not limited to: Track 1: Cognitive and Computational Foundations of Brain Science Track 2: Human Information Processing Systems Track 3: Brain Big Data Analytics, Curation and Management Track 4: Informatics Paradigms for Brain and Mental Health Research Track 5: Brain-Machine Intelligence and Brain-Inspired Computing ***Journal Opportunities*** High quality BI conference papers may be nominated to submit an extended version for a fast track review and publication at the Brain Informatics Journal (https://braininformatics.springeropen.com/) an international, peer-reviewed, interdisciplinary Open Access journal published by Springer Nature. *Real-time Journal's Impact Factor: 8.5*. *** Paper Submission and Publications *** Paper Submission link: http://wi-consortium.org/conferences/bi2023/paper%20submissions%20and%20pub… 9-12 pages are encouraged for the regular papers including figures and references in Springer LNCS Proceedings format ( https://www.springer.com/us/computer-science/lncs/conference-proceedings-gu…) Overlength pages will be charged for 200$ per page. All papers will be peer-reviewed and accepted based on originality, significance of contribution, technical merit, and presentation quality. All papers accepted (and all workshop & special sessions' full length papers) will be published by Springer as a volume of the Springer-Nature LNAI Brain Informatics Book Series ( https://link.springer.com/conference/brain) Abstract Submission (Only for Workshops/Special Sessions): Research abstracts are encouraged and will be accepted for presentations in an oral presentation format and/or poster presentation format. Each abstract submission should include the title of the paper and an abstract body within 500 words. Note: The abstract will not be included in the conference proceedings to be published by Springer. Special Issues & Books: Workshop organizers can be invited to contribute a book publication in the Springer-Nature Brain Informatics & Health Book Series ( https://www.springer.com/series/15148) or a special issue at the Brain Informatics Journal. *** Workshop & Special Sessions *** Proposal Submissions: BI'23 will be hosting a series of workshops and special sessions featuring topics relevant to the brain informatics community on the latest research and industry applications. Papers & Presentations: A workshop/special session typically takes a half day (or full day) and includes a mix of regular and invited presentations including regular papers, abstracts, invited papers as well as invited presentations. The paper and abstract submissions to workshops/special sessions will follow the same format as the BI conference papers and abstracts. Proposal Guidelines: Each proposal should include: 1) workshop/special session title; 2) length of the workshop (half/full day); 3) names, main contact, and a short bio of the workshop organizers; 4) brief description of the workshop scope and timeline; 5) prior history of the workshop (if any); 6) potential program committee members and invited speakers; 7) any other relevant information. *** IMPORTANT DATES *** * 01 May 2023: Full paper submission deadline * 20 May 2023: Workshop proposal deadline * 01 Jun 2023: Abstract presentation submission deadline * 03 Jun 2023: Final paper and abstract acceptance notification * 20 Jun 2023: Accepted paper and abstract registration deadline * 1-3 Aug 2023: The Brain Informatics Conference Contact Us: http://wi-consortium.org/conferences/bi2023/contact.html

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Postdoc/PhD positions in Toulouse (France): Deep learning models of the Global Workspace
by Rufin VanRullen 30 Mar '23

30 Mar '23

Multiple postdoctoral and PhD positions are available in an ERC-funded project exploring deep-learning implementations of the Global Workspace theory. We are seeking highly motivated and dedicated students and post-docs to join our group in Toulouse, France. Successful candidates will have formal training in AI, Computer Science or related fields (e.g. computational neuroscience), and a keen interest in cognitive neuroscience. Our ERC Advanced Grant "GLoW" aims to take inspiration from neuroscience and cognitive theories to build deep neural network models of cognition, capable of integrating or "grounding" information across sensory and linguistic modalities, and of displaying flexible cognitive behavior. We will also use advanced AI models to improve the decoding and understanding of brain activity. Details on the ideas that will be developed in the project can be found in this Opinion paper <https://www.cell.com/trends/neurosciences/fulltext/S0166-2236(21)00077-1>. The project is headed by Rufin VanRullen (CNRS, Toulouse, France), with external advisors Ryota Kanai (Araya, Tokyo, Japan) and Murray Shanahan (ICL/Deepmind, London, UK). Our lab <https://rufinv.github.io/> is part of the CerCo Institute <https://cerco.cnrs.fr/en> as well as the recently created Artificial and Natural Intelligence Toulouse Institute (ANITI) <https://aniti.univ-toulouse.fr/en/>. Our team has many opportunities to collaborate with neuroscientists, computer scientists, linguists, roboticists etc. We have direct access to fMRI recording facilities and to in-house (GPU) computing clusters as well as research-dedicated supercomputers. Typical appointments for post-docs are for 2 years (renewable for a 3rd or 4th year), and 3-years for PhD. The beginning post-doc salary is 2,590 Euros/month (net), and can reach 3,200 Euros/month (net) for more experienced post-docs. The PhD stipend is 2,000 Euros/month (net). We expect to hire several candidates by the Fall of 2023, but will continue to recruit exceptional applicants in the foreseeable future. To apply, please send a CV and a letter <mailto:rufin.vanrullen@cnrs.fr> explaining your research interests and motivations to: rufin.vanrullen [at] cnrs.fr Any questions should also be directed to the same address. --

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NWB Workshops: User Days, Developer Days, and NeuroDataReHack
by Ryan Ly 28 Mar '23

28 Mar '23

Dear colleagues, We are pleased to inform you about upcoming Neurodata Without Borders (NWB) <http://nwb.org/> workshops: NWB User Days, NWB Developer Days, and NeuroDataReHack. NWB User and Developer Days July 24th - 29th, 2023 HHMI Janelia Research Campus <https://www.janelia.org/>, VA, United States Registration deadline: April 1st, 2023 The NWB User Days (July 24th - 26th) will train users how to convert their data to NWB and publish it on the DANDI Archive <http://dandiarchive.org/>, starting from the basics and proceeding to NWB extensions, advanced data engineering techniques, and tools for analysis and visualization of NWB data. The NWB Developer Days (July 27th - 29th) will bring neuroscientists, tool builders, and research software engineers together to further the development of the NWB software ecosystem, including the data standard, core software packages, official tools, and community tools. The event is free to attend. Meals and accommodations will be provided, and you may request support for travel. To learn more and register for one or both, please visit the NWB User and Developer Days website <https://neurodatawithoutborders.github.io/nwb_hackathons/HCK15_2023_Janelia/> . NeuroDataReHack 2023 September 5th - 8th, 2023 Hotel Andalucia Center in Granada, Spain <https://www.hotelescenter.es/en/hotel-andalucia-center-granada/> Application deadline: May 1st, 2023 The goal of NeuroDataReHack is to train participants to generate new insights from existing neurophysiology data through secondary analysis. The DANDI Archive <http://dandiarchive.org/> now has 120+ neurophysiology datasets in the Neurodata Without Borders <http://nwb.org/> format spanning many species, brain areas, task types, and imaging modalities. These include high-value datasets, e.g. from The Allen Institute, the MICrONS project, and the International Brain Laboratory, as well as diverse contributions from neuroscience labs around the world. NeuroDataReHack will teach attendees how to maximally utilize the data and computational resources of the DANDI Archive to incorporate existing data into their scientific workflows. Example projects include but are not limited to: - Determine whether your result is present in another species or brain area. - Showcase the capabilities of your tool or analysis on existing data from another lab. - Explore follow-up questions to a study. Following the event, participants will be invited to apply for a Kavli Foundation Neurodata Discovery Award, which awards $50,000 (USD) of funding to continue projects that come out of the NeuroDataReHack event. This event is held as a satellite of the IBRO World Congress 2023 <http://ibro2023.org/>. Attendance of IBRO 2023 is not a requirement for application. The event is free to attend. Meals and accommodations will be provided to attendees. Learn more and apply at the NeuroDataReHack 2023 website <https://neurodatawithoutborders.github.io/nwb_hackathons/HCK16_2023_Granada…> . If you have any questions, please contact us at contact(a)nwb.org. Kind regards, Ben Dichter, CatalystNeuro <http://catalystneuro.com/> Oliver Ruebel, Lawrence Berkeley National Laboratory <https://www.lbl.gov/> -- Ryan Ly Scientific Data Engineer Lawrence Berkeley National Laboratory 1 Cyclotron Road Mail Stop 59R4104 Berkeley, CA 94720 Email: rly(a)lbl.gov Pronouns: he/him

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Graduate student workshop at Washington University in St Louis
by Goodhill, Geoffrey 28 Mar '23

28 Mar '23

Opportunity for senior graduate students! The newly established Center for Theoretical and Computational Neuroscience (ctcn.wustl.edu) at Washington University in St. Louis invites applications from senior graduate students, who are using primarily theoretical and computational techniques to study the principles of brain organization and function, for its inaugural Computational Neuroscience Next Generation symposium, September 18-20th 2023: https://ctcn.wustl.edu/next-gen-symposium The CTCN will pay travel expenses for students selected to present. Participants will engage with researchers at CTCN-participating departments over two days, including: - Presenting their work during the symposium, which will also feature leading WashU neuroscientists. - One-on-one meetings with faculty. - Informal discussions with the Washington University computational and theoretical neuroscience community. Being selected as a Next Generation Symposium speaker is an exciting opportunity for graduate students to share their research with Washington University computational neuroscientists, to receive feedback, to explore postdoctoral opportunities including CTCN postdoctoral fellowships (https://ctcn.wustl.edu/postdoc-fellows) and to form professional and intellectual relationships with peers, mentors and potential future collaborators. The application form is available at https://ctcn.wustl.edu/next-gen-symposium. The application deadline is April 28th. Professor Geoffrey J Goodhill Departments of Developmental Biology and Neuroscience Affiliate appointments: Physics, Biomedical Engineering, Computer Science and Engineering, and Electrical and Systems Engineering Washington University School of Medicine 660 S. Euclid Avenue St. Louis, MO 63110 g.goodhill(a)wustl.edu https://neuroscience.wustl.edu/people/geoffrey-goodhill-phd

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MBL Methods in Computational Neuroscience Course
by Stephen A. Baccus 25 Mar '23

25 Mar '23

Applications are open for the Methods in Computational Neurosciencecourse at the Marine Biology Laboratory in Woods Hole, MA. The course will run from July 26 to August 23, 2023. The online application form and additional information can be found at: https://www.mbl.edu/education/advanced-research-training-courses/course-off… The course application deadline is *March 31*. The course covers a range of topics in computational neuroscience including neuronal biophysics, neural coding & information processing, circuit dynamics, learning & memory, motor control, and cognitive processing & disease. In addition, numerous tutorials and problem sets will cover a broad range of computational and mathematical modeling methods. The course strongly emphasizes the collaboration between theory and experiment in solving neuroscience problems, and lectures will be given by a mixture of theorists and experimentalists. The final weeks of the course are primarily reserved for work on projects that students design in collaboration with the resident faculty. 2023 Course Directors: Stephen Baccus, Stanford University Xiao Jing Wang, New York University 2023 Faculty: Larry Abbott, Columbia University Emery Brown, MIT Nicolas Brunel, Duke University Randy Buckner, Harvard University Anne Churchland, UCLA Claudia Clopath, Imp. College London Marlene Cohen, U. of Pittsburgh Shaul Druckmann, Stanford University Uri Eden, Boston University Bard Ermentrout, U. of Pittsburgh Adrienne Fairhall, U. of Washington Michale Fee, MIT Loren Frank, UCSF Stefano Fusi, Columbia University Surya Ganguli, Stanford University Paul Glimcher, New York University Mark Goldman, UC Davis Nancy Kopell, Boston University Eve Marder, Brandeis University John Murray, Yale University Srdjan Ostojic, ENS - PSL Yiota Poirazi, IMBB-FORTH David Redish, U. Minnesota Terry Sejnowski, Salk Institute Sebastian Seung, Princeton University Reza Shadmehr, Johns Hopkins Univ. Haim Sompolinsky, Hebrew University Nelson Spruston, Janelia Res., HHMI Nao Uchida, Harvard University Byron Yu, Carnegie Mellon University Greg Wayne, DeepMind

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Postdoctoral positions in sensory coding and memory - University of Sheffield
by Andrew Lin 22 Mar '23

22 Mar '23

Why are brains the way they are? Do neural circuits function in an “optimal” way, and if so, in what sense are they optimal? How do brains encode sensory information and form associative memories? Andrew Lin's lab at the University of Sheffield is seeking postdoctoral research associates to study these fundamental questions in neuroscience in the olfactory system of the fruit fly Drosophila. We aim to discover neuronal plasticity mechanisms that underlie associative memory and the maintenance of optimal sensory coding, in the Drosophila mushroom body (the fly’s olfactory memory centre). Of special note to the comp-neuro email list, we are particularly looking for at least one of the postdocs we hire to have expertise in computational neuroscience. We seek to tie computational models of what plasticity rules would be ‘optimal’ for memory, with experiments testing whether the real brain actually uses these ‘optimal’ rules. This research will use a range of techniques including: in vivo two-photon calcium imaging, electrophysiology, fly genetics, behavioural experiments, computational modelling and building custom equipment. The exact project can be tailored to your background, but expertise in at least some of these techniques is essential, along with a PhD in a relevant field (or equivalent experience), excellent communication skills and an ability to work in a team. We welcome self-motivated, innovative, and creative applicants from a range of academic backgrounds, including biology, neuroscience, experimental psychology, computer science, physics and engineering. Closing date: 4 April 2023 Apply at this link: https://bit.ly/LinPostdoc2023 More about the lab: https://www.aclinlab.org/ Expected start date: 1 September 2023 (earlier or later start date may be possible, happy to discuss) We welcome international applicants and the university will reimburse the post-holder for many visa expenses: https://www.sheffield.ac.uk/jobs/induction/before/international/visas For informal enquiries, contact Andrew: andrew.lin(a)sheffield.ac.uk -- Andrew Lin School of Biosciences University of Sheffield Firth Court Western Bank Sheffield S10 2TN +44 (0) 114 222 3643 http://www.aclinlab.org

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