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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | 2 months 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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design, statistical and econometric analyses (STATA, R, or equivalent). Additional competence in qualitative methods: interviews, focus groups, thematic analysis, coding software (NVivo, ATLAS.ti
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Institute National De La Santé Et De La Recherche Médicale | Paris 15, le de France | France | 14 days ago
analyzed through constraint-based modeling combined with metabolomics, proteomics, methylome sequencing, and statistical methods. Briefly, the project will use the AGORA2 resource of genome-scale metabolic
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12 Nov 2025 Job Information Organisation/Company La Rochelle Université Research Field Management sciences Researcher Profile Recognised Researcher (R2) Positions PhD Positions Country France Application Deadline 7 Dec 2025 - 23:00 (Europe/Paris) Type of Contract Temporary Job...
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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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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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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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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