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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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Technologies de l'Information et de la Communication Field: Telecommunications / Machine Learning / Statistical Signal Processing. Research Lab: L2S (Laboratoire des Signaux et Systèmes) Advisor: Antoine BERTHET
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 21 days 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 on gold surfaces. The student will develop a data analysis method (e.g. statistical methods) to identify the main parameters driving metabolite-surface interactions in the presence of different
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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