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Recognised Researcher (R2) Positions PhD Positions Country France Application Deadline 31 Jan 2026 - 23:59 (Europe/Paris) Type of Contract Temporary Job Status Full-time Hours Per Week 38 Offer Starting Date 1
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spoken and written is required The candidat must have a PhD in computer science, machine learning, or computational biology The position is available immediately and will remain open until filled
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, France [map ] Subject Areas: Probability ; Statistics Appl Deadline: 2026/01/11 11:59PM (posted 2025/12/08, listed until 2026/01/18) Position Description: Apply Position Description Vacancy: 2-year full
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ExperienceNone Additional Information Eligibility criteria • PhD in statistical genetics, bioinformatics, evolutionary genetics, or a related field (obtained or in progress) • Strong knowledge of statistical
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model's development. The position is based at LOCEAN on the Pierre and Marie Curie campus of Sorbonne University. The LOCEAN laboratory (https://locean-ipsl.upmc.fr ) is one of nine laboratories in
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FieldPhysicsYears of Research ExperienceNone Additional Information Eligibility criteria - A PhD in mathematics/statistics/AI applied to ecological issues. - A strong publication record. - Proficiency in R and Python
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Researcher (R1) Positions Postdoc Positions Country France Application Deadline 28 Feb 2026 - 00:00 (Europe/Paris) Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 2 Jan
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Two-year postdoc position (M/F) in signal processing and Monte Carlo methods applied to epidemiology
Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The purpose of the project is to design fully automated
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19 Dec 2025 Job Information Organisation/Company BRGM Research Field Biological sciences » Biodiversity Researcher Profile First Stage Researcher (R1) Positions Postdoc Positions Country France
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The project is a follow-on to a project conducted at CAMS on modeling the spread