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corresponds to this strategy and to the development of new tools and concepts in statistical physics, enabling to ameliorate the understanding and numerical simulation of physical systems and also to better
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Université de Lorraine/Laboratoire LAE UMR1121 | Vand uvre les Nancy, Lorraine | France | 17 days ago
. Experience in: background in elucidating the structures of natural products using 1D and 2D NMR and HRMS, molecular network data processing and metabolomic statistical approaches, development and validation
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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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chemistry Physics » Computational physics Mathematics » Statistics Mathematics » Algorithms Computer science » Programming Researcher Profile Recognised Researcher (R2) Country France Application Deadline 31
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-power-consumption mechanisms for beam pointing, acquisition, and tracking (PAT). At Fresnel Institute, we have recently considered statistical modelling and transmitter/receiver optimization for UWOC
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in the field of chemoinformatics or molecular modelling and will have skills in algorithmic programming (Python required, C++ would be a plus) and machine learning. Experience in statistics and QSAR
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systems far from equilibrium. It has a staff of around thirty, including 20 permanent researchers, engineers and technicians at CEA and CNRS. The statistical physics of equilibrium systems now provides a
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Mines Paris - PSL, Centre PERSEE | Sophia Antipolis, Provence Alpes Cote d Azur | France | about 1 month ago
candidate will have a solid background in two or more of the following competencies: data science, machine learning, artificial intelligence applied mathematics, statistics and probabilities optimisation
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/Qualifications Economy , geography, numerical calculation, statistics, heat transfers. Master Applied Economics , Master Info or Master Risks Internal Application form(s) needed ECOFIREPhD.pdf English (139.14 KB
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of material synthesis and characterization or in applied physics (spectroscopy techniques, etc ) is required. Additional knowledge in the field of data process and statistical analysis will be beneficial