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will be as a researcher in a two-year project carried out in close collaboration with our industry partner. The goal is to develop methods for an ML-based decision support system for monitoring and fault
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age group in France, from new comprehensive community surveillance system RELAB, vi) studying how heterogeneous contacts in a population can affect estimates of variant growth advantage. Successful
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proficiency with longitudinal and regression methods (e.g., linear mixed models, generalized additive models), survival analysis, and meta‑analysis. ● Experience with version control and reproducible
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, incorporating their own ideas and experience in computer vision, machine learning, and related fields, to further visualization and interpretation of molecular images. Our research environment focuses
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increased human exposure. It is estimated that around 300 tonnes of mercury are released annually through these processes, making them one of the top three sources of anthropogenic mercury emissions worldwide
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-year project carried out in close collaboration with our industry partner. The goal is to develop methods for an ML-based decision support system for monitoring and fault diagnosis of gas turbines
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Graduate students, Research Technicians, or providing training in various research methods. ● Other Duties as assigned. Special Notes: The Research Foundation of SUNY is a private educational corporation
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statistic methods and computer programs for analysis of quantitative or qualitative data (e. g. SPSS, R, AMOS, MAXQDA) and profound knowledge of computerized literature search Didactic competence Excellent
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confocal and fluorescence microscopy techniques, molecular techniques (PCR, Western blot, RNA silencing), and autophagy research methods Analysis and interpretation of experimental data and deriving new
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27 Mar 2026 Job Information Organisation/Company Télécom Paris Research Field Computer science » Computer architecture Researcher Profile First Stage Researcher (R1) Positions Postdoc Positions