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computational plasma physics Excellent understanding of mathematical modelling, especially for plasma physics in 1D, 2D and 3D Experience with Particle-In-Cell (PIC) code development and kinetic models Experience
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PhD degree in Computer Science, Physics or a related field Experience with parallel programming models Strong programming skills in C/C++ and/or Python Knowledge of distributed memory programming with
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26 Mar 2025 Job Information Organisation/Company Université Grenoble Alpes Research Field Mathematics » Statistics Researcher Profile Recognised Researcher (R2) Country France Application Deadline 8
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profile PhD (awarded within the last 5 years) of high quality, ideally in machine learning (in the broad sense), complemented by a strong mathematical foundation in probability and/or statistics Research
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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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mathematicians to develop models of ant behavior. Where to apply Website https://www.unilim.fr/recrutement-post-doctorant-modelisation-impact-cognition-… Requirements Research FieldBiological sciences