- Comp-neuro - lists.cnsorg.org

Postdoctoral position Lyon

by DI VOLO MATTEO

A post-doctoral position is open in computational neurosciences at the Neurobiology of Executive Function lab at the Stem Brain Research Institute in Lyon (https://www.sbri.fr/).The research project aims to understand the neural mechanisms of learning during decision making. The project includes the development of a biophysical model of neuronal networks and neural mass models [1] for decision making and adaptive behaviour. The model will be developed in synergy with data analyses of monkeys electrophysiology data during task performances [2]. The successful candidate will be part of a team with experts in computational/theoretical neurosciences and will benefit from the availability of state of the art recordings at SBRI [2] and, more in general, of the rich neuroscience environment in Lyon. We welcome applicants with diverse scientific backgrounds, including, neuroscience, mathematics, physics, and engineering. We are especially interested in applicants with good programming skills (e.g. Python, C++). If interested, please take contact with Matteo di Volo: matteo.divolo(a)univ.lyon1.fr<mailto:matteo.divolo@univ.lyon1.fr> -- Matteo di Volo Junior Professor Lyon 1 University Stem and Brain Research Institute INSERM https://sbri.fr/public-profile/124/single-member/

June 21, 2023

New PhD position at Charité Berlin

by Roshan Rane

Dear Comp-neuro group, we offer a PhD / PostDoc position (4 years, 100%) at Charité - Universitätsmedizin (Berlin, Germany) in “Machine / Deep Learning in Neuroimaging for Psychiatric Research” in the framework of the TRR 265 "Losing and regaining control over drug intake". Please see the job advertisement below and forward to potential candidates. The advertisement is posted at: https://www.linkedin.com/jobs/view/3625491271/ ____________________________________________________ Job opening: PhD / PostDoc Position (100%, 4 years) “Machine / Deep Learning in Neuroimaging for Psychiatric Research” We are seeking a highly motivated and talented individual to join our research team as a PhD student / Postdoc who would apply machine learning to substance addiction research. The successful candidate will have the opportunity to develop innovative and explainable machine/deep learning algorithms that can identify patterns and predictors of alcohol addiction and cannabis use disorder using structural brain MRI, Ecological Momentary Assessments (EMA), and psychometric questionnaires. A key aspect of this research will be accounting for confounding variables, such as age or comorbidities, to ensure robust and reliable results. This project is part of the TRR265 research consortium (https://www.trr265.org/en) The position will be in the lab of Prof. Dr. rer. nat. Kerstin Ritter (https://psychiatrie-psychotherapie.charite.de/en/research/translation_and_n…) Salary grade: TV-L E13 (100%) Starting date: August 01, 2023, for ~ 4 years Soft application deadline: June 25th, 2023 The position would remain open until filled. Qualifications: - Master’s degree with excellent grades in Computer Science, Data Science, Statistics, Physics, Computational Neuroscience or a related field - Experience with data analysis, visualization, and developing machine learning algorithms - Strong programming skills in Python and PyTorch, and experience working with linux servers and GitHub - Some prior experience with publishing research papers and working independently on open research questions - Excellent written and oral communication skills Ideal additional qualifications: - Familiarity with developing explainable deep learning algorithms and benchmarking model performance - Prior experience with psychiatric research - Prior experience with neuroimaging - Familiarity with analyzing healthcare data such as ecological momentary assessments and psychometric questionnaires -Prior experience with publishing open-source research code To apply, please submit: CV with contact information of 2-3 references Short motivation letter (max 1 page) mentioning the skills you can bring to this project Master’s / PhD degree transcript (if available) Please send your application asap to Roshan Rane (roshan.rane(a)bccn-berlin.de <mailto:roshan.rane@charite.de>) and Kerstin Ritter (kerstin.ritter(a)charite.de <mailto:kerstin.ritter@charite.de>). _____________________________________________ Looking forward to your applications! ---- With warm regards, Roshan Rane

June 21, 2023

Call for abstracts: Brain Informatics 2023 in Hoboken New Jersey

by Feng Liu

+++++++++++++++++++++++++++++++++++++++++++++++++++++++++ CALL FOR Abstracts 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 Conference homepage: wi-consortium.org/conferences/bi2023/ +++++++++++++++++++++++++++++++++++++++++++++++++++++++++ *** IMPORTANT DATES *** - 30 Jun 2023: Abstract/workshop proposal 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” York University, Canada - Professor Amy Kuceyeski Director of Computational Connectomics (CoCo) at Weill Cornell Medicine Cornell University, USA - Dr. Grace Hwang Program Director, NINDS, NIH *** 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 Abstract Presentation Submission: Submission link: http://wi-consortium.org/conferences/bi2023/paper%20submissions%20and%20pub… 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 1500 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.

June 20, 2023

CFP COMPLEX NETWORKS 2023 Menton Riviera France November 28 - 30, 2023

by Hocine Cherifi

12 th International Conference on Complex Networks & Their Applications Menton Riviera, France November 28 - 30, 2023 COMPLEX NETWORKS 2023 You are cordially invited to submit your contribution until September 02, 2023. SPEAKERS - ● Michael Bronstein University of Oxford UK - ● Kathleen Carley Carnegie Mellon University USA - ● Manlio De Domenico University of Padua Italy - ● Danai Koutra University of Michigan USA - ● Romualdo Pastor-Satorras Univ. Politècnica de Catalunya Spain - ● Tao Zhou USTC China TUTORIALS - ● Tiago de Paula Peixoto CEU Vienna Austria - ● Maria Liakata Queen Mary University of London UK PUBLICATION Full papers (not previously published up to 12 pages) and Extended Abstracts (about published or unpublished research up to 4 pages) are welcome. - ● Papers will be included in the conference proceedings edited by Springer - ● Extended abstracts will be published in the Book of Abstracts (with ISBN) Extended versions will be invited for publication in special issues of international journals: o Applied Network Science edited by Springer o Advances in Complex Systems edited by World Scientific o Complex Systems o Entropy edited by MDPI o PLOS one o Social Network Analysis and Mining edited by Springer SUBMISSION https://complexnetworks.org/submission/ TOPICS Topics include, but are not limited to: o Models of Complex Networks o Structural Network Properties and Analysis o Epidemics o Community Structure o Motifs o Network Mining o Network embedding o Machine learning with graphs o Dynamics and Evolution Patterns of Complex Networks o Link Prediction o Multilayer Networks o Controllability o Synchronization o Visual Representation o Large-scale Graph Analytics o Social Reputation, Influence, and Trust o Information Spreading in Social Media o Rumour and Viral Marketing in Social Networks o Recommendation Systems o Financial and Economic Networks o Mobility o Biological and Technological Networks o Mobile call Networks o Bioinformatics o Earth Sciences Applications o Resilience and Robustness of Complex Networks o Networks for Physical Infrastructures o Networks, Smart Cities and Smart Grids o Political networks o Supply chain networks o Complex networks and information systems o Complex networks and CPS/IoT o Graph signal processing o Cognitive Network Science o Network Medicine o Network Neuroscience o Quantifying success through network analysis o Temporal and spatial networks o Historical Networks o Graph-Based Natural Language Processing GENERAL CHAIRS Hocine Cherifi (University of Burgundy, France) Luis M. Rocha (Binghamton University, USA) Join us at COMPLEX NETWORKS 2023 <https://www.complexnetworks.org/> *-------------------------* Hocine CHERIFI University of Burgundy Franche-Comté Laboratoire* I*nterdisciplinaire *C*arnot de *B*ourgogne - ICB UMR 6303 CNRS Editor in Chief Applied Network Science <https://appliednetsci.springeropen.com/> Editorial Board member PLOS One <https://journals.plos.org/plosone/>, IEEE ACCESS <https://ieeeaccess.ieee.org/?http%3A%2F%2Fieeeaccess_ieee_org%2F>, Scientific Reports <https://www.nature.com/srep/>, Journal of Imaging <https://www.mdpi.com/journal/jimaging>, Quality and Quantity <https://www.springer.com/journal/11135/>, Computational Social Networks <https://computationalsocialnetworks.springeropen.com/>, Complex Systems <https://www.complex-systems.com/>

June 19, 2023

Research Associate/PhD (m/f/d) at the Division of Psychological Methods and Statistics, Oldenburg, Germany

by Jörge Minula

Dear Members, I would like to bring to your attention a PhD position available at the Division of Psychological Methods and Statistics, University of Oldenburg, Germany. For more information about the position and how to apply, please refer to the detailed description provided in the email below. Best regards, Jörge Minula ------------------------------------------------------------------------------------ School VI of Medicine and Health Sciences comprises the fields of human medicine, medical physics and acoustics, neurosciences, psychology and health services research. Together with the four regional hospitals, School VI forms the University Medicine Oldenburg. Furthermore, there is close cooperation with the University Medicine of the University of Groningen. In the organization unit for Psychological Methods and Statistics of the Department of Psychology there is a vacancy for a *Research Associate/PhD (m/f/d) **starting October 2023 *for a limited period of 3 years. There is the possibility of personal scientific qualification (doctorate/post-doctoral thesis). The position is suitable for part-time work. At the Division of Psychological Methods and Statistics we develop and apply multivariate statistical modeling techniques and technologically advanced instrumentation for research in behavioral and health sciences. By means of these tools, applicable to modeling neurometric (EEG, DTI, fMRI, fNIRS) and psychometric data, collected within and outside the lab, we aim to understand individual differences and intraindividual fluctuations in typical and disordered sensory, cognitive and emotional processing and their behavioral outcomes across the lifespan – from neonatal age to late adulthood. The methodological and substantive topics we work at are diverse, but they inspire each other. We are committed to implementing Open Science techniques to foster reproducibility in our research and beyond. The position advertised here will work on structural and functional neuroimaging with the aim of developing advanced methods (complex dynamic networks) for measuring neuromarkers of cognitive sequelae after preterm birth. Tasks include: - Collaboration in teaching (4 LVS) - Research with close links to the research priorities of the working group and the above elaborated topic - Writing scientific papers - Presenting results at scientific conferences - Engaging with Open Science practices and contributing to the Department's Open Science Interest Group ( https://uol.de/stellen?stelle=69636) Recruitment requirements: - Completed scientific university studies (Diploma / Master) in the field of Psychology, Cognitive Neuroscience and related disciplines - Neuroimaging data analysis experience - Robust and broad knowledge of multivariate statistics, including Structural Equation Modeling - Knowledge of standard machine learning tools - Very good programming skills on R and Python Advantageous are: - Knowledge in clinical, personality, social and / or cognitive neuroscience - Very good scientific presentation skills - Prior experience with Open Science practices We offer: - A friendly and diverse work environment - A close mentoring toward an academic career - Payment in accordance with collective bargaining law (special annual payment, company pension scheme, asset-related benefits) incl. 30 days annual leave - Support and guidance during your induction phase - A family-friendly environment with flexible working hours (flexitime) and the possibility of pro-rata mobile work - Benefits from the university's health promotion programme - An extensive free further education programme as well as our own scientific promotion of young academics (https://uol.de/medizin/nachwuchs ) - Salary: E13 TV-L, 100% ( https://lohntastik.de/od-rechner/tv-gehaltsrechner/TV-L/E-13/1) The University of Oldenburg aims to increase the proportion of women in the academic field. Therefore, women are strongly encouraged to apply. According to § 21 para. 3 NHG, female applicants should be given preferential consideration if their qualifications are equivalent. Applicants with disabilities are given preference in the event of equal suitability. For further information, please contact Prof. Dr. Andrea Hildebrandt ( https://uol.de/psychologie/statistik/prof-dr-andrea-hildebrandt) How to apply: Follow the description at https://uol.de/stellen?stelle=69636

June 19, 2023

PhD/postdoc position (fully funded) in resource-efficient probabilistic inference

by Luigi Acerbi

Dear all, I am looking for a postdoc or PhD student in *Resource-Efficient Probabilistic Machine Learning*, to join our group <https://www.helsinki.fi/en/researchgroups/machine-and-human-intelligence> at the Department of Computer Science, University of Helsinki, with applications in model fitting of complex computational models in cognitive science and AI. The position is full-time, funded for 4 years (PhD) or 2+2 years (postdoc) and will be filled as soon as possible, with a starting date in autumn 2023. The starting salary will depend on the position (PhD or postdoc) and previous qualifications and experience. Applications will be considered until the position is filled. *For the full ad:* https://www.helsinki.fi/en/researchgroups/machine-and-human-intelligence/ph… *Brief project description:* The main goal of the project is to extend and improve on our VBMC framework for efficient probabilistic inference with moderately-to-very expensive models, published in multiple papers (e.g., Acerbi, NeurIPS 2018 <https://arxiv.org/abs/1810.05558>; Acerbi, NeurIPS 2020 <https://arxiv.org/abs/2006.08655>), available in MATLAB <https://github.com/acerbilab/vbmc> and recently released for Python <https://github.com/acerbilab/pyvbmc>. We aim to perform Bayesian inference for parameters of complex, expensive state-of-the-art models in fields such as cognitive science and AI. An example is the AI-inspired model of human gameplay from Wei Ji Ma's group (van Opheusden et al., Nature 2023 <https://nature.com/articles/s41586-023-06124-2>). The project includes funding for research visits to international collaborators such as Wei Ji Ma <https://www.cns.nyu.edu/malab/> at New York University and Michael Osborne <https://www.robots.ox.ac.uk/~mosb/> at the University of Oxford. We also have many local collaborators, such as Antti Honkela <https://www.cs.helsinki.fi/u/ahonkela/> for applications of sample-efficient inference to privacy, and our team is highly involved in the thriving & highly collaborative community of probabilistic ML/AI researchers — PhDs, postdocs, PIs — in the Finnish Center for Artificial Intelligence FCAI <https://fcai.fi/>, on top of many ongoing national and international collaborations in cognitive science and computational neuroscience. Best wishes, Luigi -- Luigi Acerbi, Ph.D. Assistant Professor of Machine and Human Intelligence Department of Computer Science, University of Helsinki Lab: http://www.helsinki.fi/machine-and-human-intelligence

June 16, 2023

Systems Vision Science Symposium – Program available

by Pavlovic, Maria

Systems Vision Science Symposium Aug. 22-24, 2023 in Tübingen, Germany The program is now available here: https://summerschool.lizhaoping.org/contributions-for-symposium/ We still have limited space available <https://summerschool.lizhaoping.org/contributions-for-symposium/> registration to the symposium is accepted until space is filled! Presentation topics by the invited speakers will be ® Topics in Systems Vision Science ® The power of two: New perspectives on binocular vision ® Central versus peripheral vision We are pleased to announce our symposium's keynote speaker: Marty Sereno. The keynote speech will be on August 22, 2023 Invited speakers of the Systems Vision Science Summer School and Symposium include: Assaf Breska, Peter Dayan, Andrea van Doorn, Wolfgang Einhäuser-Treyer, Karl Gegenfurtner, Ziad Hafed, Tadashi Isa, Jan Koenderink, Kristine Krug, Hanspeter Mallot, Laurence Maloney, Pascal Mamassian, Antje Nuthmann, Daniel Osorio, Andrew Parker, Jenny Read, Alexander Schütz, Manuel Spitschan, Kristina Visscher, Li Zhaoping. Our symposium takes place at the end of our Systems Vision Science summer school Aug. 14-24, 2023. Please direct inquiries to svs.summerschool(a)tue.mpg.de <mailto:svs.summerschool@tue.mpg.de> -------------------------------- Organizing team: Li Zhaoping Ulf Lüder Maria Pavlovic Junhao Liang Max Planck Institute for Biological Cybernetics University of Tuebingen <http://www.lizhaoping.org> www.lizhaoping.org

June 15, 2023

Postdoctoral Fellow Position in Brain Imaging Computing, Lehigh University, USA

by Yu Zhang

*Postdoctoral Research Fellow Position in Brain Imaging Computing* *Lehigh University, USA* The Brain Imaging and Computation Laboratory (BIC Lab) at Lehigh University has an opening position for Postdoctoral Research Fellow in brain imaging computing. *Position description:* The research projects will focus on developing and applying a variety of machine learning/deep learning methods for brain imaging analysis and prediction. The successful applicants will contribute to research and development in artificial intelligence (AI)-driven neural biomarker discovery using multimodal neuroimaging techniques (e.g., MRI and EEG) for precision medicine of various brain diseases. *Qualifications:* Successful applicants will have a Bachelor’s or Master’s degree in Electrical Engineering, Biomedical Engineering, Computer Science, or other related fields, and strong motivation to do high-quality research in novel brain imaging computing with machine learning. Additionally, strong quantitative skills and a programming background (Python and/or Matlab) are important. Previous research experiences in related fields and scientific publications in journals/conferences are preferred. *Lehigh University:* Lehigh University is a premier research university in the United States, consistently ranked in the top tier of national research universities each year. It is a coeducational, nondenominational, private university that offers a distinctive academic environment for undergraduate and graduate students from across the globe. The University campus is located in Pennsylvania’s scenic Lehigh Valley, with a driving distance of 1 hour to Philadelphia and 2 hours to New York City. *Application:* Interested candidates should send their CV and a cover letter describing research accomplishments and interests to Dr. Yu Zhang at yuzi20(a)lehigh.edu The application materials will be reviewed immediately once received. The starting date for this position is immediate but negotiable. Best regards, Yu Zhang, PhD Assistant Professor Department of Bioengineering Department of Electrical and Computer Engineering Lehigh University Webpage: http://yuzhangresearch.weebly.com/ Email: yuzi20(a)lehigh.edu

June 15, 2023

Please share: Call for investigator-led session abstracts!

by INCF

Hello! INCF is looking for applications to investigator-led sessions at INCF Assembly 2023! Please forward this email or share the following posts with your community through your social media channels, newsletters, or other communication streams: *1. Retweet this post! <https://twitter.com/INCForg/status/1668994420090306561?s=20>* *2. Share this post on Twitter!* *📢Call to present at INCF Neuroinformatics Assembly 2023!📢* *Want to speak in investigator-led talks on FAIR neuroscience? INCF is calling for abstracts! 🧠* *📅 Abstract deadline: Jun 23Submit y* *our abstract today: bit.ly/INCFAssembly2023ILPA <http://bit.ly/INCFAssembly2023ILPA>* *#FAIR #neuroscience #OpenScience* *3. Share this post on your social media channel of choice!* *📢Call to present at INCF Neuroinformatics Assembly 2023!📢* *Want to speak in investigator-led talks on FAIR neuroscience? INCF is calling for abstracts!* *INCF's annual Assembly is a unique venue where neuroscience researchers, tool developers, standards developers, and infrastructure providers can meet with potential collaborators and hear about the latest advancements in neuroinformatics and FAIR neuroscience.* *Abstract deadline: Jun 23* *Submit your abstract today: bit.ly/INCFAssembly2023ILPA <http://bit.ly/INCFAssembly2023ILPA>* Thanks for your help, and see you at Assembly! /The INCF Team

June 14, 2023

Bernstein Conference 2023 - Deadline for contributed talks coming up

by Bernstein Communication

Deadline for contributed talks for the Bernstein Conference 2023 in Berlin is coming up +++ The Bernstein Network Computational Neuroscience invites proposals for contributed talks of the Bernstein Conference 2023 in Berlin. +++ ____ Each year the Bernstein Network invites the international computational neuroscience community to the annual Bernstein Conference for intensive scientific exchange. It has established itself as one of the most renown conferences worldwide in this field, attracting students, postdocs and PIs from around the world to meet and discuss new scientific discoveries. www.bernstein-conference.de ____ IMPORTANT DATES * Bernstein Conference: September 26 - 29, 2023 * Deadline for submission of abstracts to be considered for contributed talks: June 21, 2023 * Deadline for poster abstract submission: July 19, 2023 ____ ABSTRACTS We invite the computational neuroscience community to submit their abstracts: Submitted abstracts can either be considered as contributed talks or posters. All accepted abstracts will be published online and will be citable via Digital Object Identifiers (DOI). Further information can be found here: https://bernstein-network.de/bernstein-conference/abstract-submission/ ____ INVITED SPEAKERS Keynote Marlene Cohen (University of Chicago, USA) Invited Talks Tiago Branco (Sainsburry Wellcome Center, UK) Stefano Fusi (Columbia University, USA) Ann Kennedy (Northwestern University, USA) Julija Krupic (University of Cambridge, UK) Wiktor Mlynarski (Institute of Science and Technology, Austria / LMU Munich, Germany) Adrien Peyrache (McGill University, Canada) Kanaka Rajan (Icahn School of Medicine at Mount Sinai, USA) Christopher Summerfield (University of Oxford and Deepmind, UK) Julia Veit (Albert-Ludwigs-Univesität Freiburg, Germany) ____ CONFERENCE COMMITTEE Robert Gütig (Conference Chair) Tatjana Tchumatchenko (Program Chair) Srdjan Ostojic (Program Vice Chair) Anna Levina (Workshop Chair) Maria Eckstein (Workshop Vice Chair) & Athena Akrami, Ann Hermundstad, Mehrdad Jazayeri, Christian Leibold, Ashok Litwin-Kumar, Ida Momennejad, Nicole Rust, Andrew Saxe, Daniela Vallentin, Friedemann Zenke. ____ For any further questions, please contact: bernstein.conference(a)fz-juelich.de ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Stefan Müller Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Dr. Ir. Pieter Jansens, Prof. Dr. Astrid Lambrecht, Prof. Dr. Frauke Melchior ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

June 14, 2023