- Comp-neuro - lists.cnsorg.org

MBL Methods in Computational Neuroscience Course - Deadline March 31

by Stephen A. Baccus

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

March 25, 2023

Postdoctoral positions in sensory coding and memory - University of Sheffield

by Andrew Lin

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

March 22, 2023

Postdoc in computational neuroscience/machine learning at the University of Nottingham (UK) - closes March 30th

by Mark Humphries

The Humphries’ lab at the University of Nottingham is seeking a postdoc to study the neural basis of foraging, in collaboration with the groups of Matthew Apps (Birmingham) and Nathan Lepora (Bristol). Whether choosing to leave one shop for another, switching TV programs, or seeking berries to eat, humans and other animals make innumerable stay-or-leave decisions, but how we make them is not well understood. The goal of this project is to develop new computational accounts of stay-or-leave decisions, and use them to test hypotheses for how humans, primates, and rodents learn and make these decisions. The work will draw on and develop new reinforcement learning and accumulation (e.g. diffusion) models of decision-making. The Humphries’ group researches fundamental insights into how the joint activity of neurons encodes actions in the world (https://www.humphries-lab.org) This post will join our developing research program into how humans and other animals learn to make the right decisions (e.g. https://doi.org/10.1101/2022.08.30.505807) The post is until 14th February 2025. Nottingham University welcomes researchers from around the globe. As part of this support, the university will provide financial support to the post-holder for all visa costs. Unsure if you're a good fit for the post? Got any questions? Then contact Mark for a chat: mark.humphries(a)nottingham.ac.uk. For full details of the role and how to apply https://jobs.nottingham.ac.uk/vacancy.aspx?ref=SCI092323 Closing date: March 30th 2023 This message and any attachment are intended solely for the addressee and may contain confidential information. If you have received this message in error, please contact the sender and delete the email and attachment. Any views or opinions expressed by the author of this email do not necessarily reflect the views of the University of Nottingham. Email communications with the University of Nottingham may be monitored where permitted by law.

March 22, 2023

Postdoctoral position in theoretical neuroscience at Bocconi University (Milan, Italy)

by Alessandro Sanzeni

Hi all, A fully-funded, three-year postdoctoral position in computational neuroscience is now available at Bocconi University's Department of Computing Sciences in Milan, Italy. The postdoctoral researcher will have the chance to explore various research topics, such as movement modulation of visual responses in mice, integrating connectomes in mechanistic models of brain functions, and building normative models of neural representations, among others. The research will utilize cutting-edge approaches from statistical physics, nonlinear dynamics, and machine learning, and will be informed by the latest electrophysiological and connectomic data. Prior experience with computational neuroscience is a plus, but it is not required. The postdoc will have the opportunity to become a part of the thriving neuroscience, machine learning, and computer science communities at Bocconi University. To learn more about these communities, please visit https://cs.unibocconi.eu/ and https://bidsa.unibocconi.eu/. The postdoc will be a member of the NSF-funded Accelnet consortium "International network for brain-inspired computation," facilitating international collaborations between a large network of computational neuroscience/AI labs. At Bocconi University, we are committed to fostering a diverse intellectual community and encourage individuals from underrepresented groups to apply for these positions. Applicants should apply via our on-line application system, which can be found at "www.unibocconi.eu/post-doc<http://www.unibocconi.eu/post-doc>" (Publication nr. 65633) by 23:59 of April 17th, 2023 (Italian time). If you have any questions, please feel free to contact me at alessandro.sanzeni(a)unibocconi.it All the best, Alessandro Sanzeni

March 21, 2023

Open position: Postdoctoral position in Human Psychophysics in Tuebingen, Germany

by Pavlovic, Maria

Postdoctoral position in Human Psychophysics (m/f/d) (TVöD Bund E13, 100%) The Department of Sensory and Sensorimotor Systems (PI Prof. Li Zhaoping) at the Max Planck Institute for Biological Cybernetics and at the University of Tübingen is currently looking for highly skilled and motivated individuals to work on projects aimed towards understanding visual attentional and perceptual processes using fMRI/MRI, TMS and/or EEG methodologies. The framework and motivation of the projects can be found at: <https://www.lizhaoping.org/zhaoping/AGZL_HumanVisual.html> https://www.lizhaoping.org/zhaoping/AGZL_HumanVisual.html. The projects can involve, for example, visual search tasks, stereo vision tasks, visual illusions, and will be discussed during the application process. fMRI/MRI, TMS and/or EEG methodologies can be used in combination with eye tracking, and other related methods as necessary. The postdoc will be working closely with the principal investigator and other members of Zhaoping's team when needed. Responsibilities: * Conduct and participate in research projects such as lab and equipment set up, data collection, data analysis, writing reports and papers, and presenting at scientific conferences. * Participate in routine laboratory operations, such as planning and preparations for experiments, lab maintenance and lab procedures. * Coordinate with the PI and other team members for strategies and project planning. * Coordinate with the PI and other team members for project planning, and in supervision of student projects or teaching assistance for university courses in our field. Requirements: * Ph.D. in neuroscience, psychology, computer science, physics or a related natural science or engineering field. * Publications in peer-reviewed journals. * Highly skilled in techniques of human visual psychophysics such as MATLAB programming for experiments, experimental data taking, data analysis, and paper writing. * Familiarity with hardware and techniques in eye tracking, fMRI/MRI, EEG, TMS, tDCS/tACS, and other related techniques such as in carrying out fMRI experiments is highly desirable. * Experience in project management is highly desired. * Strong command of English; knowledge of German is a plus. Who we are: We use a multidisciplinary approach to investigate sensory and sensory-motor transforms in the brain <https://www.lizhaoping.org> (www.lizhaoping.org) Our approaches consist of both theoretical and experimental techniques including human psychophysics, fMRI imaging, electrophysiology and computational modelling. One part of our group is located in the University, in the Centre for Integrative Neurosciences (CIN), and the other part is in the Max Planck Institute for Biological Cybernetics as the Department for Sensory and Sensorimotor Systems. You will have the opportunity to learn other skills in our multidisciplinary group and benefit from interactions with our colleagues in the university as well as internationally. This job opening is for the CIN or the MPI working group. The position (salary level TVöD-Bund E13, 100%) is for a duration of two years. Extension or a permanent contract after two years is possible depending on situations. We seek to raise the number of women in research and teaching and therefore urge qualified women to apply. Disabled persons will be preferred in case of equal qualification. Your application: The position is available immediately and will be open until filled. Preference will be given to applications received by May 31st, 2023. We look forward to receiving your application that includes (1) a cover letter, including a statement on roughly when you would like to start this position, (2) a motivation statement, (3) a CV, (4) names and contact details of three people for references, (5) if you have them, transcripts from your past and current education listing the courses taken and their grades, (6) if you have them, please also include copies of your degree certificates, (7) you may include a pdf file of your best publication(s), or other documents and information that you think could strengthen your application. Please use pdf files for these documents (and you may combine them into a single pdf file) and send to jobs.li(a)tuebingen.mpg.de <mailto:jobs.li@tuebingen.mpg.de> , where also informal inquiries can be addressed. Please note that applications without complete information in (1)-(4) will not be considered, unless the cover letter includes an explanation and/or information about when the needed materials will be supplied. For further opportunities in our group, please visit <http://www.lizhaoping.org/jobs.html> www.lizhaoping.org/jobs.html _________________________________ Maria Pavlovic Assistant to Prof. Zhaoping Li Office Hours: 07.00-13.00 Max Planck Institute for Biological Cybernetics Max-Planck-Ring 8 D-72076 Tuebingen phone +49 7071 601 609 fax +49 7071 601 619 <mailto:maria.pavlovic@tuebingen.mpg.de> maria.pavlovic(a)tuebingen.mpg.de <http://www.lizhaoping.org/> www.lizhaoping.org

March 20, 2023

32nd Annual Computational Neuroscience Meeting (CNS*2023), Leipzig, July 15-19 2023: abstract submission deadline EXTENDED to March 27th

by Rubchinsky, Leonid L

Dear Colleagues, The CNS*2023 abstract submission deadline has been extended to Monday March 27th, 11:00 pm Pacific Time. Note that one of the authors must register as sponsoring author for the main meeting before abstract submission. Submitted abstracts are used for creating the program and for publication. Please follow the formatting guidelines on the submission site. Registration: https://ocns.memberclicks.net/cns-2023-registration Abstract Submission: https://ocns.memberclicks.net/cns-2023-abstract-submission General information: https://www.cnsorg.org/cns-2023 The calls for tutorials and workshops remain open: CALL FOR TUTORIALS: https://www.cnsorg.org/cns-2023-call-for-tutorials Deadline for proposals: 22 April 2023 CALL FOR WORKSHOPS: https://www.cnsorg.org/cns-2023-call-for-workshops Priority Deadline for proposals: 15 April 2023 With kind regards, Leonid Rubchinsky OCNS Vice President *********************** Leonid Rubchinsky, PhD Professor Department of Mathematical Sciences, Indiana University Purdue University Indianapolis Stark Neurosciences Research Institute, Indiana University School of Medicine 402 N. Blackford St Indianapolis, IN 46202-3216 lrubchin(a)iupui.edu http://www.math.iupui.edu/~lrubchin ***********************

March 17, 2023

RA Position in Intracranial EEG in New York

by Tostaeva, Gelana

The human intracranial EEG Laboratory at The Feinstein Institutes for Medical Research – Hofstra Northwell School of Medicine in New York is looking for one research assistant to start as soon as possible and by June 2023. The successful candidate will help with the lab’s research into (1) improving the identification of functional and pathological brain regions in individuals suffering from epilepsy, (2) the neural mechanisms of cognition, and (3) the characterization of macroscale human brain networks. The lab works exclusively with patients being evaluated for epilepsy surgery using methods such as invasive stereo EEG and electrocorticography recordings (iEEG, ECoG), anatomical MRI, fMRI, DTI, and direct electrical brain stimulation. The responsibilities will include assisting with the collection and analysis of the aforementioned data, project management, assistance with grant applications and progress reports, help with analysis of neural and imaging data using existing scripts (Matlab, Python), further development of those scripts (depending on coding and signal processing proficiency), and helping to present lab findings at conferences and in journals. The relative weighting of responsibilities can be adjusted depending on the interest of the applicant. If there is interest, the RA will have her/his own scientific project with dedicated time to work on it. Past research assistants in the lab have presented their work at clinical and basic research conferences, co-authored lab publications, and are working on first-author publications. They have gone on to medical schools or PhD programs after spending 1-3 years in the lab. This unique position will expose the successful applicant to basic and clinical neuroscience as well as neurosurgery, neurology, and neuropsychology. The location of the institute allows living either in the suburban neighborhoods of Long Island or in vibrant Brooklyn or Queens. Some employees also commute from Manhattan. It is a great opportunity for recent post-bacs interested in medical school or graduate school in neuroscience/biomedical engineering. ------------- Qualifications ------------- Minimum: -B.A./B.S./B.E. in an appropriate discipline (e.g., neuroscience, psychology, biomedical engineering, computer science, physics) -1 year commitment Desirable: -Prior experience working with neuroimaging, EEG/MEG, or brain stimulation data -Previous experience working with patients -Previous work in a research laboratory that shows evidence of independent scholarship, problem-solving, and motivation -Experience with at least one programming language (MATLAB, R, or Python) and statistical analyses -2-year commitment preferred For more information about the position, please send your CV along with your questions to Drs. Stephan Bickel (sbickel(a)northwell.edu) and Ashesh Mehta (amehta.northwell.edu) You can also find the job posting here<https://urldefense.com/v3/__https://jobs.northwell.edu/job-3/17988989/resea…>. We are looking forward to hearing from you! -- Gelana Tostaeva she/her/hers Research Associate Human Brain Mapping Lab The Feinstein Institutes for Medical Research The information contained in this electronic e-mail transmission and any attachments are intended only for the use of the individual or entity to whom or to which it is addressed, and may contain information that is privileged, confidential and exempt from disclosure under applicable law. If the reader of this communication is not the intended recipient, or the employee or agent responsible for delivering this communication to the intended recipient, you are hereby notified that any dissemination, distribution, copying or disclosure of this communication and any attachment is strictly prohibited. If you have received this transmission in error, please notify the sender immediately by telephone and electronic mail, and delete the original communication and any attachment from any computer, server or other electronic recording or storage device or medium. Receipt by anyone other than the intended recipient is not a waiver of any attorney-client, physician-patient or other privilege.

March 16, 2023

PhD position in Computational Psychology of Perception at Stockholm University

by Pawel Herman

Dear colleagues, We are looking to hire a doctoral student in computational psychology with focus on olfactory perception and cognition as part of the interdisciplinary collaboration between the Department of Psychology at Stockholm University (SU) and the Division of Computational Science and Technology at KTH Royal Institute of Technology (KTH), Stockholm, Sweden. This joint research effort led by Prof. Jonas Olofsson at SU and Dr. Pawel Herman at KTH offers an opportunity to leverage the potential of computational network models to gain mechanistic insights into perceptual and cognitive phenomena. The project will contribute to the development of the next-generation psychologists capable of flexibly utilising a wide spectrum of experimental and computational techniques to pursue increasingly challenging questions in human perception, research that has tangible clinical implications. As mentioned, the project will focus on the sense of smell as a model system. More information about the positions can be found here: https://www.su.se/english/about-the-university/work-at-su/available-jobs/ph… Interested candidates are encouraged to reach out to Jonas Olofsson (jonas.olofsson AT psychology.su.se) and/or Pawel Herman (paherman AT kth.se) directly to informally discuss the positions. Best regards Pawel Herman and Jonas Olofsson ------------------------------------ Paweł Herman Associate Professor, PhD, Docent KTH Royal Institute of Technology School of Electrical Engineering and Computer Science (EECS) Division of Computational Science and Technology (CST) Lindstedtsvägen 5 114 28 Stockholm, Sweden room 4442 (4th floor, D-building) tel. +46 8 790 6513

March 16, 2023

[CFP, Deadline Extended] IEEE T-MBMC - Special Issue on Bio-Chem-ICTs

by Murat Kuşcu

(Apologies if you receive multiple copies.) IEEE Transactions on Molecular, Biological and Multi-Scale Communications Special Issue on Bio-Chem-ICTs: Synergies between Bio/Nanotechnologies and Molecular Communications https://www.comsoc.org/publications/journals/ieee-tmbmc/cfp/bio-chem-icts-s… ----------------------- *Paper Submission Deadline Extended:* *31 March 2023* ----------------------- CALL FOR PAPERS Molecular Communications (MC) is a fundamental means of information exchange ubiquitously observed in nature. It has recently attracted the attention of researchers who have been working in information and communication technologies (ICT) and striving to create cooperative ‘nanonetworks’ of artificial nanomachines, which can be interfaced with or immersed in natural biological systems. Application of ICT tools to this natural modality of communications has laid the foundations of bio-inspired, engineered MC systems, and also contributed to the understanding of natural MC networks. It is no wonder that such fundamental form of communications has been a topic of significant interest in many diverse research fields beyond ICT, such as synthetic biology, systems chemistry, micro/nanorobotics, network medicine, biophysics and physiology, biochemical sensing, lab- and organ-on-chips, bio-interfaces, molecular and biological computing, drug discovery, design and delivery. However, different languages are typically adopted by different fields to refer to the same phenomenon that the ICT researchers call molecular communications, such as chemical communications, biological/cell signaling, interaction networks, which all fundamentally denote information transfer via mass transport and/or biochemical reactions and interactions. Despite the significant overlap in the problem and the application domain, not only the language but also the research methodologies and the solution approaches are diverse, partly due to the apparent lack of strong links between different research communities. On the other hand, closer interactions between these disciplines can create important synergies that can help collaboratively target more challenging research problems and develop unprecedented applications, where the power of true interdisciplinarity is unleashed. These interactions can also help better identify the common motifs in the heterogeneous sea of molecular communication problems and scenarios comprising both biotic and abiotic systems, and help reframe and standardize the way we approach biological and bio-inspired communications in the hope of enabling a common scientific and engineering language. The aim of this Special Issue is to facilitate such interactions by bringing together the contributions of prominent researchers from diverse fields that share a common denominator with the ICT approach to MC. Reflecting different perspectives on natural and engineered molecular communications, and appreciating the diversity of approaches and methodologies, the Special Issue will ultimately help identify the potential interaction pathways between different research areas and communities, that can lead to fruitful collaborations and synergy. To this end, we solicit original contributions (technical or position/survey/tutorial/perspective articles) on a very diverse set of topics including but not limited to: ** Molecular communication among synthetic cells, and between synthetic and natural cells ** Molecular communication among nanoparticles, and between nanoparticles and natural/synthetic cells ** Collective micro/nanorobotic swarms and active matter based on molecular communications ** Physical limits to communication, sensing, and information processing in natural and synthetic bio/nano systems ** Network medicine, communication and network biomarkers of diseases ** Engineering of protein-protein and other molecular interactions, de novo design of proteins and artificial receptors for sensing and molecular communications ** Semantic information in biological networks ** Bio-interfaces (e.g., neural interfaces) relying on molecular interactions, redox reactions, and ionic carriers ** New sensing techniques and chemical & biosensor architectures targeting dynamic bio/chemical signals ** New nanomaterials and device architectures for bio-nano interfaces, and micro/nanomachines & molecular machines capable of molecular communications ** Drug design techniques exploiting molecular interactions, network-based approaches to drug discovery ** Smart drug delivery systems and techniques ** Biological and molecular computing ** Signaling aspects of lab-on-a-chip, organ-on-a-chip, multi-organ-on-a-chip, body-on-a-chip, disease-on-a-chip applications --------------------------- IMPORTANT DATES Manuscript Submission Deadline: 31 March 2023 (Extended Deadline) First Notification: 30 April 2023 Acceptance Notification: 30 May 2023 Final Manuscript Due: 30 June 2023 Publication Date: September 2023 --------------------------- GUEST EDITORS Murat Kuscu Department of Electrical and Electronics Engineering Koc University, Turkey Email: mkuscu(a)ku.edu.tr Pasquale Stano Department of Biological and Environmental Sciences and Technologies University of Salento, Italy Email: pasquale.stano(a)unisalento.it Gregory F. Payne Institute for Bioscience and Biotechnology Research University of Maryland, USA Email: gpayne(a)umd.edu Bige D. Unluturk School of Computer Science and Electronic Engineering Michigan State University, USA Email: unluturk(a)msu.edu Malcolm Egan University of Lyon, Inria, INSA-Lyon, CITI, France Email: malcolm.egan(a)inria.fr Michael T. Barros School of Computer Science and Electronic Engineering University of Essex, UK Email: m.barros(a)essex.ac.uk --------------------------- SUBMISSION GUIDELINES Prospective authors should submit their manuscripts following the IEEE TMBMC guidelines ( https://www.comsoc.org/publications/journals/ieee-tmbmc/information-for-aut… ). Authors should submit a manuscript through Manuscript Central ( https://mc.manuscriptcentral.com/tmbmc) ---------------------------

March 16, 2023

Job Opening: PhD/PostDoc at TU Berlin – Machine Learning for Wearable Brain-Body Imaging

by von Lühmann, Alexander, Dr.

Job Opening: PhD/PostDoc at TU Berlin – Machine Learning for Wearable Brain-Body Imaging The independent research group "Intelligent Biomedical Sensing (IBS)<http://www.ibs-lab.com/mission-statement>" headed by Dr.-Ing. Alexander von Lühmann<https://www.bifold.berlin/people/dr-alexander-von-luehmann.html> is hiring! We are looking for a highly motivated researcher to join us in interdisciplinary projects that focus on the development of novel methods for the identification and extraction of robust multimodal biomarkers for neuronal and peripheral physiological activation - towards personalized digital health. The IBS Lab develops miniaturized wearable neurotechnology and body-worn sensors, as well as machine learning methods for sensing signals from the brain and body under natural conditions of the everyday world. The group focuses on multimodal analysis of physiological signals in diffuse optics (e.g. fNIRS) and biopotentials (e.g. EEG). Working field: * Independent and responsible research on ML-based methods and models for robust neurotechnology in mobile applications. * Exploration of models and methods for physiology-informed multimodal brain imaging and single-trial analysis * Development of multimodal machine learning-based methods for signal analysis, signal decomposition and identification of physiological transfer functions * Scientific publishing, pursuit of doctoral degree is possible. * Teaching duties Employer: TU Berlin/BIFOLD Salary grade: TV-L 13 Berliner Hochschulen Starting date: at the earliest possible Closing date: 24.03.2023 Full job posting: IV-112/23<https://tub.stellenticket.de/de/offers/161900/?search%5Bfulltextsearch%5D=I…> | BIFOLD<https://www.bifold.berlin/about-us/opportunities/research-assistant-tv-l-13> | IBS Lab<http://www.ibs-lab.com/get-involved> __________________________ Dr.-Ing. Alexander von Lühmann Head of Independent Research Group Intelligent Biomedical Sensing (IBS) [cid:image001.png@01D95722.774D00A0] BIFOLD-ML | Machine Learning Department Technische Universität Berlin Fakultät IV – EECS MAR 4-1 / Raum 4.045 Marchstr. 23, 10587 Berlin Telefon: +49 (0)30 314-77079 www.ibs-lab.com<http://www.ibs-lab.org/> www.bifold.berlin<http://www.bifold.berlin/> www.ml.tu-berlin.de<http://www.ml.tu-berlin.de/>

March 15, 2023