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Description of the offer : During this PhD thesis, we propose to explore the properties of exotic antiferromagnetism, in non-collinear antiferromagnets like Mn3Sn or in altermagnets. We will image
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exciting opportunities for machine learning to address outstanding biological questions. The PhD student to be recruited will be working on the development of machine learning methods for single-cell data
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of teaching and research, the FSTM seeks to generate and disseminate knowledge and train new generations of responsible citizens in order to better understand, explain and advance society and environment we
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of Research Experience1 - 4 Research FieldPharmacological sciencesYears of Research Experience1 - 4 Additional Information Eligibility criteria The candidate must hold a PhD in biochemistry or biotechnology. He
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» Applied mathematics Engineering » Process engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country France Application Deadline 17 Oct 2025 - 12:00 (Europe/Paris) Type
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portability of the proposed solutions. - You will integrate and deliver "development kits" to the application community. - You will ensure knowledge transfer by providing support and training. - You will be
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FieldComputer scienceYears of Research ExperienceNone Research FieldMathematics » AlgorithmsYears of Research ExperienceNone Additional Information Eligibility criteria -- PhD in computer science or applied
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of Research Experience1 - 4 Additional Information Eligibility criteria Candidates must have a PhD in polymer chemistry and physical chemistry in the broadest sense, excellent practical skills, and a keen
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PhD students, as well as two engineers and technicians. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7346-ANNPOR-168/Candidater.aspx Requirements Research FieldPhysicsEducation
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Research Institute for Environmental and Occupational Health (IRSET - UMR_S INSERM 1085) | Rennes, Bretagne | France | about 22 hours ago
together 15,000 researchers, engineers, technicians and administrative staff, with a common objective: to improve the health of all through progress in knowledge of living organisms and diseases, innovation