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- Conduct remote sensing analyses and spatial modeling of grassland ecosystems - Supervise water sampling and organize field logistics in collaboration with students and partners - Integrate ecological data
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analyzing whole organism models (zebrafish and mouse) to dissect the pathophysiology of a recently identified rare pediatric neurometabolic disorder. The approach involves mainly deep longitudinal phenotyping
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ExperienceNone Research FieldHistory » History of scienceYears of Research ExperienceNone Additional Information Eligibility criteria • PhD in Applied Mathematics, Data Science, or Statistics • Expertise in
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will benefit from the various skills in tropical ecology, vegetation modelling, and remote sensing of a large and enthusiastic team of collaborators. Where to apply Website https://emploi.cnrs.fr
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learning or applied mathematics. Required skills and qualities: - Fluency with Python programming for data analysis or machine learning, - Knowledge of statistical or probabilistic modelling techniques
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available to work on computational models of artificial evolution for aptamer design, expected to start between November 2025 and February 2026. Aptamers are often obtained through rounds of in vitro
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to actionable, fleet-wide planning instruments in a rapidly evolving regulatory and technological landscape. Prerequisites Education PhD in operations research, applied mathematics, industrial engineering, or a
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for integration into diagnostic tools Preparing manuscripts for submission to both medical and machine learning journals Qualifications Candidate profile: Required: PhD in mathematics, statistics, data science
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or equivalent Skills/Qualifications Main skills Microbiology (classic and molecular), microbial ecology, fermentations Population analyses, (Cytometry, FISH, qPCR…), Omics approaches (mainly proteomics and
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infection in mouse models and during virus transmission between the mosquito and the mammalian host. The ultimate goal is to identify host genes and mechanisms that drive variations in host-vector