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Field
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) at the Laboratoire de Mathématiques de Bretagne Atlantique (LMBA, UMR 6205 CNRS UBO). The thesis will be co-supervised by: Julien Balicchi (Engineer, Head of the Studies and Statistics Department at ARS Mayotte
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, preferentially with experience in phytoplankton cultivation and microscopy Interest in general ecological concepts, biodiversity research Experience in general statistics (preferentially in R) Fluency in English
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through the HR system. Applications by email will not be considered. Application procedure and conditions We kindly request applicants to provide their nationality for statistical purposes only, as part of
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interest in data analysis, modelling, statistics, and machine learning. Experience in spatial data analysis (GIS), scientific programming (Python, R, or equivalent), or artificial intelligence will be
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, mathematical modeling and statistics, or equivalent. We are looking for candidates with: A solid academic background with thorough computational and analytical understanding; Proficiency in programming in Python
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theory, statistical inference, and probabilistic modelling for uncertainty quantification in deep learning, particularly large language models. The focus will be on quantifying and evaluating uncertainty
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through the HR system. Applications by email will not be considered. Application procedure and conditions We kindly request applicants to provide their nationality for statistical purposes only, as part of
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data from textual sources Conduct data analysis using econometric and statistical tools (STATA, R, or Python). Assist in literature reviews and summarising academic research. Contribute to writing
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health/epidemiology/social science/sociology/biology/environmental sciences/microbiology/statistics/veterinary or human medicine). Applicants whose first language is not English require an IELTS score
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bioaccessibility · Scientific support in the preparation, implementation and evaluation of dietary intervention studies · Statistical analysis, interpretation and presentation of scientific data · Publication