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will focus on studying the principles of neural computation through recurrent neural networks, dynamical systems theory, and machine learning. - Develop mathematical and computational models of neural
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» Modelling toolsEducation LevelPhD or equivalent Skills/Qualifications PhD in physics, applied mathematics, signal and image processing, digital imaging. Specific Requirements The candidate will work in a
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» AlgorithmsYears of Research ExperienceNone Additional Information Eligibility criteria - a PhD degree in computer science or equivalent - solid knowledge of telecommunication networks - knowledge of modeling and
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a PhD in Computer Science, Applied Physics, Applied Mathematics or other relevant fields, with both good programming skills and good knowledge in numerical algorithms. Website for additional job
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14 (3 postdocs, 2 PhD students, 3 CNRS researchers, 5 engineers, 1 animal technician). The laboratory studies neural stem cells using the zebrafish brain as a model. We aim to understand how cell
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temperature and water vapor profiles, or surface temperature. We search for the solution of an inverse problem, and we want to use a neural network model for this task. Our group has been using this type
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18 Feb 2025 Job Information Organisation/Company CNRS Department Institut de biologie de l'Ecole Normale Supérieure Research Field Biological sciences Computer science Mathematics Researcher Profile
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» Computational chemistryYears of Research Experience1 - 4 Additional Information Eligibility criteria - PhD in theoretical chemistry applied to materials, materials physics, computer science/applied mathematics
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Description This position is to be filled within the History of the Mathematical Sciences team at the Institut de mathématiques de Jussieu-Paris rive gauche (IMJ-PRG, UMR 7586, CNRS, Sorbonne université
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Erosion This ANR-funded collaborative project is an interdisciplinary project integrating cell biology, genomics, microfluidics and mathematics. The post-doctoral fellow will join the Emmanuelle Fabre