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Ecole supérieure de physique et de chimie industrielles de la ville de Paris | Paris 15, le de France | France | 2 months ago
23 Jan 2024 Job Information Organisation/Company Ecole supérieure de physique et de chimie industrielles de la ville de Paris Department Biophysics and Evolution Team Research Field Engineering Biological sciences Other Researcher Profile First Stage Researcher (R1) Country France Application...
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in English (level B2 to C1 Common Framework of Reference for Languages). He/she will be familiar with basic concepts in fluid mechanics and statistics. Fluid flow in porous media plays a central role
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@uca.fr before Tuesday 30th April 2024.Requirements: master's degree or engineer's degrees in 2024 or before, mathematical background (probability, statistics, linear algebra, optimization), programming
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19 Jan 2024 Job Information Organisation/Company IFP Energies nouvelles (IFPEN) Research Field Environmental science » Water science Physics » Computational physics Physics » Statistical physics
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. Whatever the dominant mechanics, it imprints its mark on the multiple system population. A statistical study of separation, mass ratio, shape and orientation of the mutual orbits will constrain the formation
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statistical approach versus a deep learning approach will be assessed. The results will also be used to develop better excavation and post-excavation protocols to prevent alteration and better preserve traces
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their homeostatic capabilities. We aim to develop a medically and statistically consistent approach to identifying and quantifying determinants of overall performance as well as aerobic performance from monitored
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, anchored in ethics (ED Droit et science politique ED 461), statistical modeling (IDESP, UMR1318), and biomarkers (IGF, ED CBS2), offering a comprehensive approach to understand, prevent, and manage suicidal
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defined in these processes. We are looking for a PhD candidate with a strong background in statistical physics, computationnal tools and programming, and an interest in complex networks, from
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and/or an engineering degree with knowledge in numerical methods (stochastic modeling, finite element method), statistics, and/or chemical kinetics and thermodynamics. Good oral and written