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Two-year postdoc position (M/F) in signal processing and Monte Carlo methods applied to epidemiology
-Negative Matrix Factorization will be explored. The second challenge is to leverage the derived statistical models to design automated data-driven procedures for the estimation of epidemiological indicators
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at https://postdoc.wustl.edu/prospective-postdocs-2/ . Trains under the supervision of a faculty mentor including (but not limited to): Study Development: Conducting literature review, designing studies
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external candidates. For questions about the vacancy, you can contact: Anneke Alkemade (J.M.Alkemade@uva.nl ) Where to apply Website https://www.academictransfer.com/en/jobs/356498/postdoc-position-in
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Recognised Researcher (R2) Positions Postdoc Positions Country Poland Application Deadline 16 Jan 2026 - 23:59 (Europe/Warsaw) Type of Contract Temporary Job Status Full-time Hours Per Week 40 Offer Starting
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Recognised Researcher (R2) Positions Postdoc Positions Country Poland Application Deadline 16 Jan 2026 - 23:59 (Europe/Warsaw) Type of Contract Temporary Job Status Full-time Hours Per Week 40 Offer Starting
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Cornell University, Information Science Position ID: Cornell-IS-POSTDOC [#31443] Position Title: Position Type: Postdoctoral Position Location: Ithaca, New York 14850-4623, United States of America
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analyzing telemetry and demographic data to assess movements, habitat use, seasonal survival, and nesting success of wild turkeys. The postdoc will also coordinate ongoing radio-telemetry fieldwork conducted
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) Positions Postdoc Positions Application Deadline 2 Feb 2026 - 23:59 (Europe/Lisbon) Country Portugal Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 15 Feb 2026 Is the
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in relevant fields and high-impact journals. The candidate should be proficient and experienced in studying ecology of fish in the wild. Analytical skills and experience with statistical software (e.g
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fields and high-impact journals. The candidate should be proficient and experienced in studying ecology of fish in the wild. Analytical skills and experience with statistical software (e.g. R, MatLab