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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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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
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lines, but their performances were very dependent on the quality of the initialization [7-9]. Statistical Shape Models (SSMs) have been also recently introduced [6, 10]. Although SSMs do not require
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(e.g. Europe). Candidates should have solid experience of large spatial and temporal datasets, their manipulation and the implementation of statistical and empirical models on such datasets
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The development of statistical/machine learning approaches for downscaling at the kilometer scale will be the main mission of the position. For various climate variables (temperature, precipitation, wind, etc
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Loire. Four teams represent the main topics of the lab : Theoretical Physics - PDE, Modelling, Simulations - Probabilities, Algebra, Combinatorics, Ergodic Theory, Statistics - Analysis and Geometry
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, phase stability, characteristics of basic defects: vacancies and self-interstitials (energy of formation and migration). - Use statistical tools to study the impact of composition and potential
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, and a strong foundation of knowledge in one or more of the following: genomics, cancer biology, statistics. Excellent computational skills as well as experience with high-throughput data analysis in