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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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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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insights into the statistics of seismicity. It is also likely to have an impact on current seismic hazard practices. Supervision The supervisory team will be made up of S. Durand (LGL-TPE, Chargée de
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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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neurodegenerative diseases such as Alzheimer's disease using multimodal data from large databases. Statistical learning methods applied to the data will help identify multimodal phenotypes of the considered
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3 Apr 2024 Job Information Organisation/Company CNRS Department Center for Theoretical Physics Research Field Physics » Biophysics Physics » Statistical physics Mathematics » Applied mathematics
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through the EU Research Framework Programme? Not funded by an EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Researcher in statistical modelling and
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in molecular simulation is desirable, as well as a good knowledge of associated theoretical tools (statistical physics, etc.; programming experience including: Python, Fortran, C, C++, etc.). A good
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databases (Parcoursup, SISE, etc.), and a work package devoted to carrying out a questionnaire survey of high school students. 1) Carry out statistical analyses on longitudinal and administrative databases
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the development of Danionella fish. Activity (and possibly behavioral) recordings will be combined with computational approaches combining statistical physics and machine learning to track the evolution