November 2025 - Comp-neuro - lists.cnsorg.org

PhD opportunities in computational and theoretical neuroscience at Bocconi University
by Alessandro Sanzeni Nov. 24, 2025

Nov. 24, 2025

Applications are open for the PhD in Statistics and Computer Science at Bocconi University (Milan, Italy). This fully funded four-year program offers an interdisciplinary environment connecting statistics, computer science, and data-driven modeling. Research in neuroscience at Bocconi combines theoretical modeling, drawing from physics and machine learning, with the analysis of experimental data to study how the brain processes information, learns, and remembers. Current projects focus on visual processing and learning mechanisms, in collaboration with experimental groups worldwide. The program is part of a vibrant research community spanning the physics of complex systems and computation, applied AI, and the foundations of machine learning, fostering rich cross-disciplinary exchange. Bocconi University is located in the center of Milan, an international city known for its active research community, cultural life, and quality of living. Further information on faculty and research areas is available on the Department of Computing Sciences website<https://cs.unibocconi.eu/>. Program details and application instructions can be found on the PhD program webpage<https://www.unibocconi.it/en/programs/phd/phd-statistics-and-computer-scien…>. Application deadline: 5 February 2026 Feel free to get in touch for informal inquiries. Alessandro Sanzeni Assistant Professor Department of Computing Sciences Bocconi University, Milan, Italy

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Jenny Saffran speaking on Thursday, December 4 in Developing Minds global online lecture series
by Jochen Triesch Nov. 21, 2025

Nov. 21, 2025

Dear colleagues, On December 4, the Developing Minds global online lecture series is proud to host Jenny Saffran from Univ. of Wisconsin-Madison, speaking on: "Learning to understand: Statistical learning and language development“. Thursday, December 4, 2025 8:00 am CT (Central Time, USA) 2:00 pm UTC (Universal Coordinated Time) 15:00 CET (Central European Time) 23:00 JST (Japan Standard Time) The zoom link/credentials are: https://uni-frankfurt.zoom-x.de/j/65360492761?pwd=E7EbBT8uMVWgyhBAYAJgLz33R… Meeting-ID: 653 6049 2761 Kenncode: 352501 Abstract: Infants rapidly develop from being naïve listeners, who experience language as a sea of sounds, to understanding their native language(s). How does this remarkable learning process unfold? One potentially useful source of information lies in the statistical patterns that characterize natural languages, which signal structures ranging from phonemes to words to grammatical structures. Beyond merely tracking these patterns, how might infants use statistical regularities to support language development? In my presentation, I will explore the hypothesis that infants exploit statistical regularities in the service of efficiently processing information in their linguistic environments. Short Bio: Dr. Jenny Saffran has been on the faculty of the University of Wisconsin-Madison since she received her Ph.D. in 1997. Her research program focuses on how infants learn, particularly in the domain of language. She is a highly engaged teacher and mentor to students at all levels. Dr. Saffran is the recipient of numerous awards for her scholarship and teaching, including as the inaugural recipient of the Jeffrey Elman Prize for Scientific Achievement and Community Building from the Cognitive Science Society. She was elected to the American Academy of Arts and Sciences in 2015. The talk will be recorded and made available for later viewing. For more information on the talk series and recordings of previous events, please visit: https://sites.google.com/view/developing-minds-series/home Best regards, Jochen Triesch -- Prof. Dr. Jochen Triesch Johanna Quandt Chair for Theoretical Life Sciences Frankfurt Institute for Advanced Studies and Goethe University Frankfurt http://fias.uni-frankfurt.de/~triesch/ Tel: +49 (0)69 798-47531 Fax: +49 (0)69 798-47611

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Computational Neuroscience graduate training at Penn
by Maria Geffen Nov. 20, 2025

Nov. 20, 2025

The Computational Neuroscience Initiative<https://www.cni.upenn.edu/> at the University of Pennsylvania offers a new program for Interdisciplinary Training in Computational Neuroscience (ITCN) at the doctoral level. The goal of the ITCN is to train a new generation of scientists who will make quantitative links between properties of the brain and properties of the mind. ITCN trainees will learn to use computational methodology to interpret experimental results, build predictive models of brain function that inform the design of the experiments, and support an ever-growing list of applications from brain-machine interfaces in the clinic to cutting-edge forms of artificial intelligence. The ITCN brings together students and faculty<https://www.cni.upenn.edu/people> from Penn’s PhD programs in Neuroscience<https://www.med.upenn.edu/ngg/> (Biomedical Graduate Studies, Perelman School of Medicine), Bioengineering<https://be.seas.upenn.edu/doctoral/> (School of Engineering and Applied Science), Physics<https://www.physics.upenn.edu/graduate/> (School of Arts and Sciences), and Psychology<https://psychology.sas.upenn.edu/graduate> (School of Arts and Sciences). To join the ITCN, students first apply to one of those "home" PhD programs. Once admitted, students then typically apply to the ITCN before starting classes in their first year. Those selected meet with the ITCN Advisory Committee, both individually and as a group, to develop individualized training plans that meet the goals and requirements of the ITCN and each student’s home program. These plans include coursework, research, and other activities that aim to build both expertise in computational neuroscience and a sense of community in the ITCN. Details are provided below. The ITCN embraces diversity and inclusion in their many forms, including welcoming students with a broad range of personal, professional, and academic backgrounds into both our training program and the field of computational neuroscience as a whole. Application. The application deadline is Dec. 1 for the Neuroscience<https://apply.med.upenn.edu/apply/>, Psychology<https://apply.graduateadmissions.upenn.edu/apply/> and Physics<https://apply.graduateadmissions.upenn.edu/apply/>, and Dec. 15 for Bioengineering<https://gradadm.seas.upenn.edu/how-to-apply/> PhD programs! Prospective PhD students must first apply and be accepted into one of our participating graduate programs: Neuroscience<https://www.med.upenn.edu/ngg/>, Bioengineering<https://be.seas.upenn.edu/doctoral/>, Physics<https://www.physics.upenn.edu/graduate/>, or Psychology<https://psychology.sas.upenn.edu/graduate> (PhD students admitted to other PhD programs at Penn may also be considered; see below for additional requirements). Students typically apply to the ITCN before starting classes in their first PhD year, although we will also consider applications from students in more advanced years who believe they will be able to meet our academic requirements. Selection into the ITCN does not require a background in computational neuroscience. Instead, we require: 1) a brief (~½ page) essay describing why you want to join the ITCN and how it would fit into your training and career plans; 2) written permission from your Graduate Chair (and, for MD-PhD or VMD-PhD students, the Director of your Combined Degree Program); and 3) if you are not in one of our four participating programs, descriptions of the funding source(s) and course and research requirements for your home PhD program. Please send your application materials, and/or any questions, to Vijay Balasubramanian<mailto:vijay@physics.upenn.edu>, Maria Geffen<mailto:mgeffen@pennmedicine.upenn.edu>, and/or Joshua Gold<mailto:jigold@pennmedicine.upenn.edu>. ________________________________ Maria Neimark Geffen, Ph.D. (she/her) Professor Co-director, Penn Computational Neuroscience Initiative Department of Otorhinolaryngology: HNS (primary) Department of Neuroscience Department of Neurology Perelman School of Medicine University of Pennsylvania 5 Ravdin 3400 Spruce St. Philadelphia PA 19104 Tel.: 215.898.0782 My zoom<https://pennmedicine.zoom.us/my/mgeffen?pwd=eWVFbUJFUGRJZ3g1eU9YZEZic2VwZz09> mgeffen(a)pennmedicine.upenn.edu<mailto:mgeffen@pennmedicine.upenn.edu> http://hosting.med.upenn.edu/hearing https://bsky.app/profile/geffenlab.bsky.social

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Call for posters and participation, GRC and GRS Robotics, Ventura (USA), January 11-16 2026.
by Auke Ijspeert Nov. 20, 2025

Nov. 20, 2025

Call for posters and participation, GRC and GRS Robotics, Ventura (USA), January 11-16 2026. Dear computational neuroscientists, We are happy to announce the *Gordon Research Conference (GRC) in Robotics *that will take place in Ventura (USA), January 11-16 2026. We have a great list of speakers and discussion leaders (see below and the website). The schedule has been published, and a call for participation and for posters in now open, see https://www.grc.org/robotics-conference/2026/ *Please apply soon, as the total number of participants is limited*.*December 14 is the final deadline, but the remaining seats will likely be assigned by then.* Note also the Robotics Gordon Research Seminar (GRS) that takes place just before (Jan 10-11) and that provides a unique forum for young doctoral and post-doctoral researchers to present their work, https://www.grc.org/robotics-grs-conference/2026/. This year’s conference will focus on *adaptive behavior and learning in animals and robots*. We will explore how biological inspiration drives advancements in robotics, from simple reactive behaviors to complex planning and learning systems. Insights from biomechanics, neuroscience, and animal studies are increasingly shaping the design and control of robots, making them more robust and adaptable. A key focus will be on *embodied intelligence, enabling robots to excel in locomotion, manipulation, and interactions with other agents*. Conversely, robotics research is also contributing to biology. Studies of perception and action in robotic systems are leading to new mathematical models that help integrative biologists understand locomotion, manipulation, and collective behavior in animals. By *bringing together experts from robotics, biomechanics, and neuroscience*, this conference aims to foster cross-disciplinary insights that will push the boundaries of both fields. Join us for a dynamic exchange of ideas at the intersection of robotics and biology, where engineering meets evolution. /The Robotics GRC is a premier, international scientific conference focused on advancing the frontiers of science through the presentation of cutting-edge and unpublished research, prioritizing time for discussion after each talk and fostering informal interactions among scientists of all career stages. The conference program includes an array of speakers and discussion leaders from institutions and organizations worldwide, concentrating on the latest developments in the field. The conference is five days long and held in a remote location to increase the sense of camaraderie and create scientific communities, with lasting collaborations and friendships. In addition to premier talks, the conference has designated time for poster sessions from individuals of all career stages, and afternoon free time and communal meals allow for informal networking opportunities with leaders in the field./ Best regards, Auke Ijspeert and Vijay Kumar, organizers./ / *Confirmed speakers:* Alin Albu-Schaeffer Nora Ayanian Spring Berman Oliver Brock Rod Brooks Bingni Brunton Henrik Christensen Kenji Doya Nadia Figeroa Josie Hughes Marco Hutter Monroe Kennedy Dan Koditschek Cecilia Laschi Yasemin Ozkan-Aydin Tony Prescott Amanda Prorok Daniela Rus Giulio Sandini Stefan Schaal Claire Tomlin Kotaro Yasui *Confirmed discussion leaders:* Josie Hughes Dan Koditschek Cecila Laschi Chen Li Barbara Mazzolai Yasemin Ozkan-Aydin Stefan Schaal Giulio Sandini Barry Trimmer -- ----------------------------------------------------------------- Prof Auke Jan Ijspeert (he/him) Biorobotics Laboratory EPFL-STI-IBI-BIOROB, ME D1 1226, Station 9 EPFL, Ecole Polytechnique Fédérale de Lausanne CH 1015 Lausanne, Switzerland Office: ME D1 1226 Tel: +41 21 693 2658 Fax: +41 21 693 3705 www:http://biorob.epfl.ch Email:Auke.Ijspeert@epfl.ch -----------------------------------------------------------------

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Postdoc position in computational NS - Ruhr University Bochum, Germany
by Vinita Samarasinghe Nov. 20, 2025

Nov. 20, 2025

*Position as Postdoctoral Scholar in Computational Neuroscience* Are you curious about how the human brain stores memories? Have you wondered how we manage to navigate through space? Our dynamic research group uses diverse computational modeling approaches, including biological neural networks, cognitive modeling, and machine learning/artificial intelligence, to study learning and memory. Currently, we are actively seeking a talented *Postdoc* to join our team, someone whose primary task will be developing advanced algorithms to analyze learning dynamics. You will be analyzing neural, psychophysiological, and behavioral data from other projects within the SFB 1280 (https://sfb1280.ruhr-uni-bochum.de/en/home/ project F01) to compare learning dynamics across individuals, species, and paradigms. You will provide theoretical support to collaborating projects and coordinate the analysis of the data collected from experimental groups. This position is 100% at TV-L E13, starting on 01.03.2026, and is funded until 30.06.2029. *Your Profile:* Candidates must have: * an excellent doctoral degree in neuroscience, physics, mathematics, engineering, or a related field (mandatory) * competence in mathematical modeling (mandatory) * excellent programming skills, e.g., Python (mandatory) * relevant research experience in neuroscience or a related field is required * experience in the study of learning dynamics * experience working within a collaborative research group * excellent communication skills in English, and * team spirit. We are committed to providing a supportive work environment for female researchers and those with young children. Our university provides mentoring and coaching opportunities specifically aimed at women in research. We have a strong research network with female role models and will provide opportunities to meet with them. Wherever possible, events will be scheduled during regular childcare hours. Special childcare can be arranged if events have to be scheduled outside of regular hours, in case of sickness and during school or daycare closures. Where childcare is not an option parents will be offered a home office solution. We strongly encourage applications from qualified women and persons with disabilities. The official posting for this position can be found at https://jobs.ruhr-uni-bochum.de/jobposting/ca74ad0f5c0f99ec276b0d6ca56195d5… To apply please submit an application via our online portal https://jobs.ruhr-uni-bochum.de/en/jobposting/ca74ad0f5c0f99ec276b0d6ca5619… Upload your letter of motivation, CV, transcripts and research statement. *Application deadline:* 01.01.2026 Please feel free to get in touch with me if you have any questions. Vinita Vinita Samarasinghe M.Sc., M.A. Science Manager Arbeitsgruppe Computational Neuroscience Institut für Neuroinformatik Ruhr-Universität Bochum, NB 3/73 Postfachnummer 110 Universitätstr. 150 44801 Bochum Tel: +49 (0)234 32 27996 Mobile: +49 (0)1512 7278698 Email: samarasinghe(a)ini.rub.de

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[Meetings] Deadline reminder: 2026 Nengo Summer School Call For Applications
by Madeleine Bartlett Nov. 20, 2025

Nov. 20, 2025

Dear colleagues, Please note that the deadline for application submission to the Nengo Summer School, December 22nd, 2026, is approaching. All details about this school can be found online at https://www.nengo.ai/summer-school The Centre for Theoretical Neuroscience at the University of Waterloo is excited to announce our 11th annual Nengo summer school on large-scale brain modelling and neuromorphic computing. This two-week school will teach participants to use the Nengo simulation package to build state-of-the-art cognitive and neural models to run both in simulation and on neuromorphic hardware. Summer school participants will be given on-site access to neuromorphic hardware and will learn to run high-level applications using Nengo! More generally, Nengo provides users with a versatile and powerful environment for designing cognitive and neural systems and has been used to build what is currently the world's largest functional brain model, Spaun, which includes spiking deep learning, reinforcement learning, adaptive motor control, and cognitive control networks. For a look at the last in-person summer school, check out this short video: https://youtu.be/hHwIryt053M?si=N70eVlC3Sm_2sDy5 We welcome applications from all interested graduate students, postdocs, professors, and industry professionals with a relevant background. ***Application Deadline: December 22nd, 2026*** Format: A combination of tutorials and project-based work. Participants are encouraged to bring their own ideas for projects, which may focus on testing hypotheses, creating models to account for neural or cognitive data, implementing specific behavioural functions with neurons, expanding past models, or providing a proof-of-concept of various neural mechanisms. Hands-on tutorials, individual or group projects, and talks from invited faculty members will make up the bulk of day-to-day activities. A project demonstration event will be held on the last day of the school, with prizes for strong projects! Participants will have the opportunity to learn how to: * interface Nengo with various kinds of neuromorphic hardware (e.g. BrainDrop, SpiNNaker) * build perceptual, motor, and sophisticated cognitive models using spiking neurons * build models to account for anatomical, electrophysiological, cognitive, and behavioural data * use a variety of single cell models within a large-scale model  * integrate machine learning methods into biologically oriented models * interface Nengo with cameras and robotic systems * implement modern nonlinear control methods in neural models * neurally implement vector symbolic architecture algorithms * and much more… Date and Location: May 31st to June 12th, 2026 at the University of Waterloo, Ontario, Canada. Applications: Please visit http://www.nengo.ai/summer-school, where you can find more information regarding costs, travel, lodging, along with an application form listing required materials. If you have any questions about the school or the application process, please contact: Madeleine Bartlett: madeleine.bartlett(a)uwaterloo.ca<mailto:madeleine.bartlett@uwaterloo.ca> Kathryn Simone: kpsimone(a)uwaterloo.ca<mailto:kpsimone@uwaterloo.ca> The school is partly supported by ABR, Inc. We look forward to hearing from you! Maddy she/her Postdoctoral Fellow University of Waterloo email: m2bartle(a)uwaterloo.ca

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Postdoc and Senior Researcher Positions in Computational Neuroscience at IBS, South Korea
by Sungho Hong Nov. 20, 2025

Nov. 20, 2025

The computational neuroscience research group at the Center for Memory and Glioscience, Institute for Basic Science (IBS), Daejeon, South Korea is seeking highly motivated researchers for two open positions, a postdoctoral researcher and senior researcher. Our group studies the biophysical basis of neural information processing through computational modeling, with particular emphasis on developing neuroscience-inspired machine learning/AI (neuroAI) models to analyze and model neuroscience data. We are big fans of physiological mechanisms and investigate how they collectively define the functions of neural systems underlying intelligent behavior. Currently, our research projects focus on the cerebellar neural circuit and its adaptive computation: · Computations for flexible movement control via the population activity of cerebellar neurons · Efficient construction of large-scale, physiologically realistic computational models of neural circuits · Modeling neuro-glia interactions and their impact on behavior We carry out these projects in close collaboration with experimental labs both within our Center and abroad, providing rich opportunities for integrative research. We are also next door to top-notch experimental laboratories in our Center and have various opportunities for scientific exchange also with other members of a vibrant neuroscience community in South Korea. We are stably supported internally by IBS, a South Korean government initiative for excellence in basic science research. For more information, please check out the Center (https://centers.ibs.re.kr/html/ccs/science/science_020101.html#research_05) and PI homepage (https://shhong.github.io) Successful candidates will hold a PhD in neuroscience or related quantitative fields (Physics, Mathematics, Computer Science, etc.), with strong interest in understanding neural systems through computational approaches. We are committed to welcoming applicants of all ethnicities, genders, sexual orientations, religions, etc. For more information and how to apply, please check out our official posting at https://ibs.re.kr/prog/recruit/eng/sub04_01/view.do?idx=2007. Please note that the deadline is soon — December 1, 2025. For further inquires, please send an email to sunghohong(a)ibs.re.kr. Best regards, Sungho — Sungho Hong Center for Memory and Glioscience Institute for Basic Science 55 Expo-ro, Yuseong-gu Daejeon 34126 South Korea

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Open Position - Postdoctoral Research Fellow in Brain Plasticity (Blindness/Deafness) - Washington DC
by Ella Striem-Amit Nov. 19, 2025

Nov. 19, 2025

Dear Colleagues, Could you please post the following ad for a postdoctoral research fellow position in my lab? Thanks! Ella *____* *Postdoctoral Research **Fellow in Brain Plasticity (Blindness/Deafness)* *Sensory & Motor Plasticity (SAMP) Lab — Georgetown University, Washington, DC* The SAMP Lab (PI: Ella Striem-Amit) investigates how experience shapes brain organization by studying people born with blindness, deafness, or without hands, using behavioral paradigms, computational methods, and state-of-the-art fMRI analyses. For more information, see samp-lab.facultysite.georgetown.edu <https://samp-lab.facultysite.georgetown.edu/research>. We seek a Postdoctoral Fellow to lead projects on individual differences in brain plasticity in congenital blindness or deafness. This includes testing how lived experience and compensatory strategies shape neural organization. *Required qualifications* - PhD (by start) in Neuroscience, Psychology, Cognitive Science, CS/EE/BME, or related fields. - Demonstrated fMRI expertise and solid statistics. - Strong programming skills (MATLAB, Python, or R). - *Preferred (but not required)* - Experience with brain plasticity, multisensory processing or development - Experience working with special populations and inclusive research practices. *Appointment & compensation* - Start window: Spring–Summer 2026 (flexible). - Initial term: 2 years, with the possibility of extension based on performance and funding. - Salary per NIH/Georgetown guidelines; full benefits. - The position is not limited to US citizens. *To apply* Apply - Interfolio <https://apply.interfolio.com/177838> Review begins Dec 1, 2025 and continues until the position is filled. *Diversity & inclusion* We welcome applicants from all backgrounds and are committed to an inclusive, accessible research environment. Georgetown University is an equal opportunity employer. -- *Ella Striem-Amit (she/her)* Sensory and Motor Plasticity (SAMP) Lab Edwin H. Richard and Elisabeth Richard Assistant Professor Department of Neuroscience Georgetown University Medical Center 3970 Reservoir Rd., NW Washington, DC 20007 http://samp-lab.facultysite.georgetown.edu/

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Workshop on Canonical Cortical Computations
by Allison Ong Nov. 19, 2025

Nov. 19, 2025

Simons Foundation Now Accepting Applications for Workshop on Canonical Cortical Computations The Center for Computational Neuroscience (CCN) <https://www.simonsfoundation.org/flatiron/center-for-computational-neurosci…> at the Flatiron Institute and the Simons Foundation Neuroscience Collaborations <https://www.simonsfoundation.org/neuroscience/> invite applications to participate in a workshop aimed at developing a potential collaborative project focused on a mechanistic understanding of canonical cortical computations at the circuit level. The workshop will be held April 27–28, 2026, at the Simons Foundation’s offices in New York City. This workshop represents a new model for fostering large-scale scientific collaborations between CCN researchers and external scientists. We particularly encourage applications from experimentalists working in rodent and/or nonhuman primate models. While the envisioned collaborative project will primarily support external experimental work, theoretical and computational neuroscientists are also welcome to apply. For decades, efforts to fully understand canonical cortical computations were slowed by limited descriptions of cell types and connections, technical barriers to measuring and perturbing circuits in vivo and the abstract nature of theoretical models. Thanks to advances in anatomy, biophysics, connectomics, developmental biology and circuit-level tools, as well as powerful new computational and theoretical approaches, researchers are now poised to build and test models that more faithfully capture the function of canonical cortical circuits. We believe this will be possible only through a highly collaborative, vertically integrated partnership between theorists and experimentalists working together to build a framework for thinking about canonical circuit computations in the cortex. Approximately 30 workshop attendees will be selected from these applications. Participation in this workshop is not a guarantee of inclusion in a potential collaborative project or future funding. To apply, please submit your biosketch and a one-page statement describing your scientific expertise, how it connects to the scientific vision outlined above and what unique perspectives or contributions you will bring to the discussions. Apply here <https://form.jotform.com/apschaffer/application-cortical-computations> by January 5, 2026, at 5 p.m. ET. https://form.jotform.com/apschaffer/application-cortical-computations You will be notified by February 27, 2026, if you are selected to attend. For questions or issues with this application, please contact corticalcomputations(a)simonsfoundation.org.

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PhD position in computational neuroscience/brain physics in Oslo
by Gaute Einevoll Nov. 19, 2025

Nov. 19, 2025

A three-year position as PhD Research Fellow in computational neuroscience/brain physics is available at the Department of Physics at the University of Oslo. Starting date as soon as possible, and preferably no later than March 1, 2026. The position is funded by EU Horizon and part of the Marie Sklodwoska-Curie Doctoral Network NeuroNanotech<https://neuronanotech.eu/the-network/>: ‘Integrating Nanotechnology and Neurocomputational Modeling for Advanced Brain Interfaces’. The NeuroNanotech project aims to develop next-generation neurotechnological tools by integrating computational and experimental approaches to understand how nanoscale materials and electromagnetic interactions affect brain function. The PhD project will focus on biophysical modeling of electrical and magnetic brain signals and the mechanisms through which externally applied fields influence neural dynamics. The deadline for application is December 9th. Further info about the position and info on how to apply, see: https://www.jobbnorge.no/en/available-jobs/job/290338/phd-research-fellow-i… For further inquiries, send an email to Gaute.Einevoll(a)nmbu.no. Best regards Gaute ******************************* Professor Gaute T. Einevoll Department of Physics, Norwegian University of Life Sciences, 1432 Aas, Norway; Department of Physics, University of Oslo, 0316 Oslo, Norway theoretical neuroscience podcast: theoreticalneuroscience.no<https://theoreticalneuroscience.no> popular science podcast: vettogvitenskap.no<https://vettogvitenskap.no> popular science podcast (English only): vettogvitenskap.no/senseandscience<https://vettogvitenskap.no/senseandscience> Co-author of "Electric Brain Signals": www.cambridge.org/electricbrainsignals<http://www.cambridge.org/electricbrainsignals> Co-author of "Principles of computational modeling in neuroscience" (2nd ed): www.cambridge.org/sterratt2<http://www.cambridge.org/sterratt2/> mobile: +47-95124536 email: Gaute.Einevoll(a)nmbu.no<mailto:Gaute.Einevoll@nmbu.no>, Gaute.Einevoll(a)gmail.com Twitter: @gauteeinevoll Blue Sky: @gauteeinevoll.bsky.social Zoom: https://nmbu.zoom.us/my/gauteeinevoll “If you sleep in a democracy, you may wake up with a dictator.”

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