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fellow with strong expertise in bioinformatics and statistics to join our research team in the Departments of Ophthalmology, Cell & Developmental Biology, University of Michigan. Our research encompasses a
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Georgetown University, Department of Mathematics and Statistics Position ID: 917-POSTDOC [#27965] Position Title: Position Type: Postdoctoral Position Location: Washington, District of Columbia
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, statistics and the R statistical environment. The candidate should also have field and laboratory experience in pollen analysis. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR5602
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Leibniz Institute of Freshwater Ecology and Inland Fisheries (IGB) im Forschungsverbund Berlin e.V. | Stechlin, Brandenburg | Germany | 2 days ago
Ecology Research Field Environmental science » Ecology Researcher Profile Leading Researcher (R4) Positions Postdoc Positions Application Deadline 31 May 2026 - 23:59 (Europe/Berlin) Country Germany Type
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. The postdoc can be affiliated with one (or more) of the following departments: Statistical Science, Sociology, or Political Science departments at Duke University. Applicants should upload their CV, a brief
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related to the exchange of momentum, energy, and mass. Significant challenges persist in understanding processes and feedbacks. The Land-Atmosphere Feedback Initiative (LAFI, https://lafi-dfg.de ) is an
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background in ecology or geophysics, strong mathematical and statistical skills, and an interest in being on the ground floor of a new space-based observable. Research will include basic discovery science
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on the recruitment platform stating in object “Postdoc in Aquaculture systems and Seaweed Monitoring”. Where to apply Website https://www.timeshighereducation.com/unijobs/listing/409569/asari-postdoctoral
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, PRS, pathway analysis, or Mendelian randomization) and statistical analyses in R or Python; the candidate must have programming skills, ability to handle large datasets, experience in scientific
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, Statistics, Financial Mathematics, and Theoretical Physics. Data science and modelling constitute a key research area within these research groups, which maintain active collaborations both within King’s and