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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | about 1 month ago
: rigorous, organized, curious, autonomous, proactive and dynamic. A specialization in optimization, machine learning, statistical learning or game theory is appreciated. Research experience is a plus
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statistical inference. More specifically the recruited PhD student will consider variational inference approaches for GEA and stochastic optimization to speed up the inference, with the objective of scaling up
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the analysis of voting rules using robust and interpretable mathematical tools. It explores the writing of voting modes as the result of an optimization problem. Based on statistical depth functions
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markers, flow cytometry, and cell sorting. • Generation and analyses (bioinformatic and statistical) of environment and microbiome data, including amplicon sequencing libraries, metagenomes, and
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science, or a related field. Strong background in quantitative methods and statistical analysis. Experience with computational tools for large-scale data analysis (e.g., Python, R, SQL). Familiarity with
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project is two-fold. First objective is to test if the explanatory variables are robust to the SDM approach, testing a suite of alternative correlative statistical models such as RANDOM forest, GAM
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using imaging, proteomics and biochemistry. Supervision and training. Expected skills: General knowledge of chemistry and biology, basic concepts in mathematics, statistics and physics. Health and safety
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to work independently, is highly motivated, has a strong interest in social and health neuroscience, and excellent skills in quantitative methods, statistics, and project management. Experience in
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for data collection, statistical analyses, manuscript preparation, and presenting results at international conferences. Main tasks include: - Implementing controlled breeding experiments to assess
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have excellent skills in analyzing human behavior and be proficient with experimental and data processing software (E-Prime, Matlab, R), statistical analyses including linear mixed-effects models, as