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Jordan laboratory, UMR CNRS 5208, in Villeurbanne (Université Claude Bernard Lyon 1). He will be a member of the Statistical Probability and Mathematical Physics team and will participate in
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stresses. Scientific objectives : This thesis is part of Axis 2 of the project, which aims to propose a mean-field method for estimating the effective properties and statistical fluctuations of local fields
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Ecole supérieure de physique et de chimie industrielles de la ville de Paris | Paris 15, le de France | France | 29 days ago
21 May 2024 Job Information Organisation/Company Ecole supérieure de physique et de chimie industrielles de la ville de Paris Department Team Biophysics and Evolution Research Field Engineering » Other Biological sciences Researcher Profile First Stage Researcher (R1) Country France Application...
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research team presented below have been identified in this regard. Main Research Field Information Science and Engineering (ENG) Research sub-field(s) Networking, Modeling, Statistical tests Keywords Network
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will work on the construction of statistical physics models applied to biological systems. They will test them on biological data from several systems in collaboration with our experimental colleagues
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2 May 2024 Job Information Organisation/Company CNRS Research Field Physics » Biophysics Physics » Statistical physics Chemistry » Computational chemistry Researcher Profile Recognised Researcher
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Institut Supérieur de l'Aéronautique et de l'Espace | Toulouse, Midi Pyrenees | France | 3 months ago
mathematical and signal processing background, with strong skills in Matlab/Python. Knowledge on: GNSS; estimation theory; statistical analysis; are a plus. Demonstrated interest in remote sensing, GNSS, signal
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or Statistics or Business Intelligence, or Artificial Learning and Intelligence, or Signal Processing. o Skills in software development and databases. o Good general scientific background, particularly in
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Context: The rising cost of drug development – a phenomenon known as Eroom’s Law – is a call for innovation. Over the past decade, the statistical genetics community discovered thousands of variant
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with interests in molecular simulations, machine learning, and statistical mechanics for research opportunities in: • Development of data-driven schemes for the discovery of slow degrees of freedom