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can be found at the URL https://math.univ-cotedazur.fr/~ingremeau/PostdocNuHeMiBa.pdf We are looking for a candidate with a PhD in applied mathematics, with a strong focus on numerical analysis
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/Qualifications The recruited candidate should have proven experience in experimental work (setup, data processing, and analysis of results). Skills in nonlinear numerical modeling are also desired. Specific
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noise from mechanical/vibratory sources. Two methodologies for monitoring the state of health of a structure based on an experimental modal analysis of the structure have been proposed: - the detection
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obtained from ex vivo robotic tests will inform multiscale numerical models of tissue mechanotransduction, calibrated using in vivo murine gait analysis and behavioral tracking provided by IRMB
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identical conditions, using Trichloroethylene (TCE) taken as a model molecule. In addition to physical measures, a methodology based on the analysis, in solution, of TCE and its degradation by-products will
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) Solid expertise in qualitative social research (e.g., conducting qualitative interviews, analysing qualitative data); basic knowledge of quantitative data collection and statistical analysis is an asset
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analysis of biomedical data and bioscientific programming for a project on the study of neurological disorders. The candidate should have experience in the analysis of large-scale biomedical data (e.g
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mutant and transgenic reporter lines in zebrafish and mouse Participate in all the metabolomic and singe cell transcriptomic aspects of the study, from sample preparation to data analysis Perform
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Responsibilities: Ensure communication with internal and external stakeholders Organize and prepare content/analysis for project events, such as stakeholder meetings and policy briefs Network with researchers and
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and implementation of data systems and analysis platforms with the platform development team (developers, data managers, scientists) Supporting strategic planning and integration of new data modalities