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cereals production practices. PhD grantors: Aarhus University (DK) & Clermont Auvergne University (FR); keywords: IoRT network optimisation, data quality PhD-B: Data collection and analysis empowered with
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Lexington, KY - Hybrid Grade Level 46 Salary Range $52,021-85,800/year Type of Position Staff Position Time Status Full-Time Required Education PhD Click here for more information about equivalencies: https
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3 Apr 2026 Job Information Organisation/Company Biotechnical Faculty, University of Ljubljana Department Department of Agronomy, Chair of Soil and Environmental Science Research Field History
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of recommendation, all in PDF format. Please visit our website at http://nyuad.nyu.edu/en/about/careers/faculty-positions.html for instructions and information on how to apply. If you have any
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ability to perform experimental protocols and procedures, including detailed data collection, and analysis and operation and maintenance of specialized equipment. Work Location: This is a fully on-site
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data analysis, manuscripts preparation Where to apply E-mail mmankowska@amu.edu.pl Requirements Research FieldBiological sciences » BiologyEducation LevelPhD or equivalent Skills/Qualifications a)PhD
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or neurophysiological data (e.g., EEG, eye-tracking, autonomic measures) will be considered an asset. Skills in data analysis and programming (Python, Matlab, or R) are desirable, along with an interest in statistics and
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candidate is self-motivated and hard-working with a PhD in Data Science, Computational Social Science, Computer Science, or Information Science, with no more than five years post receipt of the PhD
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Research Institute for Environmental and Occupational Health (IRSET - UMR_S INSERM 1085) | Saint Point, Bourgogne | France | 22 days ago
health data (no wet lab) Skills/Qualifications: All applicants must have a doctoral degree (e.g. PhD, PharmD-PhD, MD-PhD, or DVM) and a solid record of research accomplishments (grants as PI, publications
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human genetics and the biological interpretation of complex traits. You should have experience with genetic data analysis, statistical genetics, and be motivated to understand how AI-based models can be