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be subject to negotiation. The project We invite applications for PhD stipends in the following areas, all within the sections of Insurance and Economics and Statistics and Probability Theory : Model
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the ERC partners in Munich and Bayreuth. The candidate is expected to • use and develop thermodynamics codes to model fluid-melt equilibria • present critical analyses of the experimental database on fluid
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Researcher (R2) Positions PhD Positions Country Spain Application Deadline 2 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
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countries and Assessment database . Terms of employment in the regular programme Employment as PhD fellow is full time and for maximum 3 years. Employment is conditional upon your successful enrolment as a
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Interventional Procedures. Research methodology The unified model will leverage 50,000 patient scans from the UK Biobank imaging database, using a semi-supervised learning strategy to learn the orientation
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The Department of Biology, University of Copenhagen, Denmark, invites applicants for a PhD fellowship in exchange of volatile organic compounds (VOCs) in Arctic glacier ecosystems. The position will
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. ******************************************************************************** Option A: Getting into a <b>position</b> on the regular <b>PhD</b> programme Qualifications needed for the regular programme To be eligible for the regular <b>PhD</b> programme, you must have completed a degree...
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Computer science » Systems design Researcher Profile Recognised Researcher (R2) Positions PhD Positions Country Poland Application Deadline 7 Dec 2025 - 23:59 (Europe/Warsaw) Type of Contract Temporary Job Status
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) Positions Postdoc Positions Country Luxembourg Application Deadline 1 Dec 2025 - 12:00 (Africa/Abidjan) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework
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skills: Knowledge of vertebrate skeletal morphology (mammals and/or reptiles). Skills in database management and integration of large, multi-source datasets. Familiarity with GIS, phylogenetic, or modeling