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, so that it can be easily used in practice (fast optimization, embedded decision-making, online updating). 1. Design a lightweight statistical/probabilistic surrogate model, integrating: • an estimation
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of current methods to detect balancing selection resulting from other mechanisms than HA, such as NFDS and FS using simulations. He/She will further explore new combinations of statistics, relying notably
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skills and/or experience desired: • in at least one, and preferably two, of the following areas: applied mathematics, particularly in nonlinear PDEs, theoretical physics (statistical physics and/or
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Job related to staff position within a Research Infrastructure? No Offer Description Development of theoretical models of cell migration with memory Modeling in statistical physics and soft matter
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* Sleep recording in narcoleptic mice * Conducting analyses of the data obtained * Performing statistical analyses and formatting the data * Writing scientific manuscripts Secondary tasks: * Mentoring
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postdoctoral researcher will investigate how data fusion techniques can be incorporated into FORMOSA to address the challenges described above. They will propose new methodologies based on statistical inference
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) - Advanced knowledge in statistical analysis Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR8002-MARWEX-007/Default.aspx Work Location(s) Number of offers available1Company
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that incorporate horizontal transfers, and to use these models to obtain statistical estimates of the main evolutionary dynamics of TE families across species (for example, horizontal transfer and extinction rates
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communities to environmental stresses and the cascading effects on ecosystem functioning. - Setting up experiments - Ecophysiological measurements in the laboratory - Statistical analysis of collected data
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. - Performing statistical analyses to correlate SWOT/GDP data - Drafting a manuscript summarizing the results The successful candidate will be based within the LOPS Coastal Oceanography team under the supervision