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skills : We expect a candidate with a strong background in machine learning or statistics. The candidate must also be proficient in high-level languages like Python. Familiarity with single-cell date and
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 1 day ago
Bayesian Inversion for high dimensional inverse problems. Statistics and Computing, 2021. Nguyen, D.T., Jacquemoud, S., Lucas, A., Douté, S., Ferrari, C., Coustance, S., Marcq, S., Meygret, A., 2025. Mapping
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statistics publications per professor over the last 5 years. It provides an international and stimulating environment with regular top research seminars and several top-quality conferences. It also benefits
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analysis, isotopic analysis, statistical analysis - Interpersonal skills: Teamwork, autonomy, organization, prioritization Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR7209-ANNHAU
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degree: Master's (or equivalent) in neuroscience, psychology, biomedical engineering, computer science, or related discipline. • Skills: Python programming, solid knowledge of statistics, behavioral
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democratization of approaches using artificial intelligence based on Machine Learning (statistical AI), data lakes have also been proposed [4,5]. Objectives: Monitoring farming and agronomical activities is based
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the consequences of climate change and strengthen the resilience of mountain areas. The thesis will be based on a multidisciplinary approach combining statistical analysis, level-meteorological modeling, and machine
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world; • Advanced skills in ceramic and archaeometric analyses (petrography, geochemistry), as well as in data-processing and analytical tools, including statistical methods; • Excellent written and
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Corruption and institutional trust (expected level: high) • Practical expertise in open science practices (expected level: very high) • Team coordination (expected level: high) • Statistical data analysis and
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and youth studies, particularly health and risk behaviours of adolescents Familiarity with quantitative research methods Knowledge in statistics (descriptive and inferential analysis) Ability to work