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, quantitative genetics, computational biology, or related field. Strong background knowledge of evolutionary ecology, population genetics, quantitative genetics, data analysis, ecological modelling, and data
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to the processing and analysis of data from the test phases. • Ensure implementation in compliance with ethical standards, IT security, and data confidentiality. • Contribute to documentation, project reports, and
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management, laboratory techniques (cell culture, biochemical analyses, immunohistochemistry, qPCR), animal model manipulation (rodents, micro-CT analyses, histomorphometry), scientific data analysis and
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-read whole-genome sequencing data. Genome of Europe will operate in a federated analysis paradigm, with raw-datasets being held separately in different member states, hence the central opportunity
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). • Carry out acquisition, processing, and analysis of behavioral, EEG, and fMRI data. • Ensure ethical compliance of experimental activities and guarantee adherence to consent and confidentiality procedures
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Eligibility criteria Numerical analysis and finite element method Solving anisotropic problems Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR7340-SOPBAU-024/Default.aspx Work Location
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to guideline analysis, the construction of simulated trials, and the feasibility assessment in French databases (SNDS, CONSTANCES, EDS-APHP). Activities : Contribute to the design of simulated trials (target
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release in mice - data analysis - scientific writing The position is offered within the Astrocytes & Cognition team, led by Glenn Dallerac, at the Paris-Saclay Institute of Neuroscience (NeuroPSI, CNRS UMR
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Mediterranean Institute of Oceanography | Marseille, Provence Alpes Cote d Azur | France | 1 day ago
in laboratory experiments, data analysis, field work, and work as part of a project team that includes doctoral students and technical staff. The main objectives of this position is (1) to quantify
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-level decision-making, it does not address the strategic optimization of fleet-wide renewal plans under uncertainty—a critical need for organizations aiming to decarbonize cost-effectively and in