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Field
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quantitative genetics or animal breeding Has published high-quality research in peer-reviewed journals Experience with scripting languages (e.g., R, Python, SAS) and/or genetic software (e.g., DMU, ASReml) Can
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demand forecasting or behavior modeling Computing & Data Systems Cloud computing (AWS, Azure, GCP) Big data pipelines, distributed computing, and geospatial data processing Python, R, SQL/NoSQL
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, engineering, neuropsychology, or a related field Strong skills in statistical analysis, programming using Python, MATLAB, R, or similar Strong quantitative or computational background Experience with
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ERC funded project on the human gut-brain axis (https://cordis.europa.eu/project/id/865568 ). The ideal candidate will have strong expertise in data analysis related to gut microbiota and metabolite
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datasets. Proficiency in R and/or Python, with demonstrated experience developing reproducible analytical workflows (e.g., version control, well-documented code). Strongly Preferred Experience developing
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, or computer programming is a plus Technical skills (e.g., Python, R, Unix) are also highly desired but not required Prior experience managing teams of people and/or an interest in psychological and
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communication skills in English, 4. Programming skills are desirable (Julia, Python, convex optimization and semidefinite programming). Task description: The project focuses on analytic and geometric properties
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Posting Summary Logo Posting Number RTF00010PO26 USC Market Title Post Doctoral Fellow Link to USC Market Title https://uscjobs.sc.edu/titles/156387 Business Title (Internal Title) Post-Doctoral
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apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7638-ARNBEC-003/Candidater.aspx Requirements Research FieldPhysicsEducation LevelPhD or equivalent LanguagesFRENCHLevelBasic Research
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programming skills in Python and familiarity with modern computational toolchains a clear interest in theoretical or system-level questions, such as how incentives, feedback, evaluation criteria, or AI support