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to target the mechanistic alterations at the basis of resistance to current therapeutic options. The research program will favor translational approach and the experimental design will benefit from
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redefinition of behavioral features or pose challenges in their detection. The projects To address these challenges, we propose developing a Bayesian Program Synthesis (BPS) methodology for generating synthetic
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This is a unique opportunity for an outstanding scientist to develop an innovative research program at the interface of biology, applied mathematics and/or physics, within one of the five DYNABIO-affiliated
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opportunity for an outstanding scientist to develop an innovative research program at the interface of chemistry and biology within one of the five major DYNABIO-affiliated institutes (C3M, iBV, IPMC, IRCAN
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orthogonal random directions. Mathematical Programming, 199(1):1179–1219, 2023. • J. Bolte, E. Pauwels, S. Vaiter. Automatic differentiation of nonsmooth iterative algorithms. NeurIPS 2022. Candidate Profile
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, programming in Python, advanced vector data analysis software (e.g. Paraview), knowledge of condensed matter physics, magnetism and/or electron microscopy.
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schools History News 2025 School Introduction Registration Program Committees Sponsors Contact Repository Lectures by topic Lectures by author Search lectures 2024 2023 2022 2021 2020 2019 2018 2017 2015
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behaviour using computational approaches such as Bayesian program synthesis and inverse reinforcement learning. Investigate the diversity of motor commands that could implement observed behaviours and explore
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to the ontogeny of health and disease. This project was selected for funding by the ERC-CoG-2024 call and the Impulscience program from fondation Bettencourt Schueller.
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(Master 2 level). We seek solid programming and IT skills, along with good communication abilities and an appetite for interdisciplinary work (AI applied to healthcare).