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, robot control, unconventional cameras, humanoid robotics Skills: formalization of geometric and photometric image models, neural network training, software development, hardware installation, oral and
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Infrastructure? No Offer Description The postdoctoral researcher will contribute to the ANR-funded Pi-CANTHERM project, which aims to design, model, and predict the performance of new n‑type organic thermoelectric
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lakes - Good knowledge of mathematical and statistical modeling methods in ecology - Proficiency in optical microscopy and flow cytometry tools - Very good knowledge of algal community identification
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device modeling is desirable but not required. ● You are a team player with a high level of motivation, self-initiative and independence, excellence and flexibility to work and deliver results. ● Interest
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of an iPSC model of mutations observed in patients - Characterization of defects at the cellular level - Characterization of defects at the transcriptomic level The successful candidate will work in the “mRNP
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and process behavioral and electrophysiological data • Model behavior based on diffusion models and make explicit link with neurophysiological data • Conduct detailled statistical analysis • Write
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dozen input variables). The foreseen approach would be to build on recent developments in using CNNs for Species Distribution Models (e.g. Deneu et al 2021, Morand et al 2024) to summarise the complex
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primarily focus on one or more of these parts. The successful candidate will develop numerical tools and/or theoretical models to model and simulate the behavior of a group of agents capable of chemical
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significantly deformed by tides? We will address this question using an experimental model approach. The agent will be responsible for: - installing the metrology equipment (PIV and conductivity probe
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), consisting of the partial destruction of chromosomes in their soma during development. Although described as early as 1887, PDE has remained mysterious due to the limitations of model systems and sequencing