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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 5 days ago
of the Cluster IA ENACT project (https://cluster-ia-enact.ai/ ) that is funding this PhD thesis. In the chair, she wants to push the research in Natural Language to assist humans in different scenarios
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Research Field Medical sciences » Other Researcher Profile Established Researcher (R3) Positions PhD Positions Application Deadline 7 Apr 2026 - 23:00 (Europe/Madrid) Country Spain Type of Contract Permanent
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Research Field Political sciences Researcher Profile Recognised Researcher (R2) Positions PhD Positions Application Deadline 7 Apr 2026 - 23:00 (Europe/Madrid) Country Spain Type of Contract Temporary Job
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programme under the Marie Skłodowska-Curie Action (MSCA), University of Helsinki is offering a PhD fellowship for a Doctoral Candidate (DC), starting 1 September 2026 or as soon as possible hereafter. A
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programme under the Marie Skłodowska-Curie Action (MSCA), University of Helsinki is offering a PhD fellowship for a Doctoral Candidate (DC), starting 1 September 2026 or as soon as possible hereafter. A
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Degree Dr rer nat (PhD equivalent) in Physics Course location Bonn In cooperation with University of Cologne Teaching language English Languages The entire programme is taught in English. Full-time
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. • Experience with ion irradiation experiments and/or materials behavior under irradiation. Desired skills and qualifications • PhD in physics, nuclear engineering or material science • Strong teamwork and
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, Austria, and the remaining two years at the Institut Laue-Langevin (ILL) in Grenoble, France; PhD enrollment: The successful candidate will enroll in the PhD program at the University of Graz. During
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and deadlines, please visit: http://www.jsmc.uni-jena.de . Tuition fees per semester in EUR None Combined Master's degree / PhD programme No Joint degree / double degree programme No Description/content
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inference, and computational physics. Among generative methods, Normalizing Flows (NF) stand out for their ability to learn a transformation from a simple distribution to a target distribution through a