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Range Based on Post Doctoral Experience Type of Position Temporary Position Time Status Full-Time Required Education Ph.D. in statistics, biostatistics, data science, bioinformatics or related field
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Max Planck Institute for Physics, Garching | Garching an der Alz, Bayern | Germany | about 3 hours ago
position is a PhD in physics, computer science, statistics, or a related field. The candidate should: Be interested in statistical inference and methods, with a focus on the Bayesian approach. Possess solid
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18 Nov 2025 Job Information Organisation/Company Universitat de Barcelona Department Organisation profile Research Field Neurosciences Researcher Profile Recognised Researcher (R2) Positions PhD
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National University of Singapore, Department of Statistics & Data Science Position ID: 3020-POSTDOC [#27642] Position Title: Position Type: Non tenure-track faculty Position Location: Singapore
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challenges, from reducing our carbon emissions to developing vaccines during a pandemic. The Department of Psychiatry is based on the Warneford Hospital site in Oxford – a friendly, welcoming place of work
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POSTDOCTORAL SCHOLAR Requisition # 4503 Position Basics Advertising Ends on:Wednesday, November 26th, 2025 Advertising Started on:Wednesday, November 12th, 2025 College:College of Nursing
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PhD Positions Country Spain Application Deadline 15 Dec 2025 - 23:59 (Europe/Madrid) Type of Contract Temporary Job Status Full-time Hours Per Week 37,5 Offer Starting Date 1 Jan 2026 Is the job funded
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they are kept fully up to date with progress and difficulties in the research projects. It is essential that you hold a PhD/DPhil in a quantitative discipline (e.g. Statistics, Machine Learning, Biostatistics, AI
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Experience: PhD in reproductive biology, cell and developmental biology, genetics, or similar field Molecular biology experience. Animal research Conducting statistical analyses. Preferred Education and
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experienced by people living with HIV (PLHIV). This position offers an opportunity to contribute to innovative, policy-relevant research at the intersection of epidemiology, social sciences, statistics, and