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Home EMA The European Magnetism Association Executive Board General Council Documents Membership EMA news Communication Social Networks Mailing Event Dissemination Rules All news EMA editorials Obituaries Awards beyond EMA Materials 2023 survey Commitments Young EMA EMA Awards Technical...
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funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description - Find gene features with a
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sciences and humanities. The project aims to decipher the molecular mechanisms that allow the plague bacillus (Yersinia pestis) to establish infection in its flea vector. The position is offered as a 2-year
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Recognised Researcher (R2) Positions Postdoc Positions Country France Application Deadline 12 Oct 2025 - 23:59 (Europe/Paris) Type of Contract Temporary Job Status Full-time Hours Per Week 37h15 Offer Starting
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17 Sep 2025 Job Information Organisation/Company Université de Caen Normandie Research Field Physics Engineering Researcher Profile First Stage Researcher (R1) Positions Postdoc Positions Country
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Compound screening to identify SPAK activators and inhibitors regulating the KCC2
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This postdoctoral position focuses on the thermodynamics of micro-mechanical resonators interacting with a
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description By simply sliding one 2D crystal atop
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by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The postdoctoral researcher will contribute to the development of a research project in the
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exciting opportunities for machine learning to address outstanding biological questions. The postdoc to be recruited will be working on the development of machine learning methods for single-cell data. In