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Performance Computing are desirable. We particularly encourage applicants with expertise in Multi-scale Modeling, Evolutionary Computation, Diffusion models, Reinforcement Learning . The successful candidate
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well established computational and mathematical modelling techniques to achieve its aims. Departure points are Evolutionary Game Theory and reinforcement learning, supported by agent-based
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behavioral signatures in Drosophila larval models of neurological disorders Team: Decision and Bayesian Computation – Epiméthée Department of: Neuroscience Department of: Computational Biology Member
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Biological Sciences Division - The University of Chicago | Chicago, Illinois | United States | 2 months ago
modeling approaches for biological sciences, capturing the full continuum from basic biological discovery to clinical translation and public health, including programs that bridge biophysics, computation
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science. Individuals are modeled as oscillators whose phases represent circadian rhythms, coupled through social interactions that themselves evolve over time. This creates a co-evolutionary system in