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https://www.ntnu.edu/nv/phd The applicants are required to justify their candidateship by explicitly explaining their personal motivation and academic aptitude for pursuing a doctoral degree within this
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a leading research centre in industrial mathematics, modelling, simulation, optimisation, and data analytics. We operate at the interface between academic research and industrial needs, often in
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of Information Technology and Electrical Engineering . Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/305436/phd-candidate-in-vocal-bi… Requirements Research FieldComputer scienceEducation LevelMaster
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Germany | 3 months ago
function, regeneration, and metabolic health. We are now seeking a passionate and highly motivated PhD candidate (f/m/x) in full time (39 hrs./week) eager to dive into the fascinating interface of immunology
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contributing both fundamental methodological advances and practical decision-support tools. Research environment The PhD position is part of the Norwegian Centre on AI for Decisions (aiD), https://aid-centre.no
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to apply Website https://www.academictransfer.com/en/jobs/362176/phd-spotsize-converter-developm… Requirements Specific Requirements Masters degree in electrical engineering, applied physics, photonics
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appointee is expected to complete an article-based PhD thesis based on the empirical material produced and 30 ECTs of studies required for a PhD degree in Finland. Selection criteria We are looking for a
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) Positions PhD Positions Application Deadline 8 Jul 2026 - 23:59 (UTC) Country Greece Type of Contract Temporary Job Status Full-time Offer Starting Date 1 Aug 2026 Is the job funded through the EU Research
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engineering Engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 8 Jul 2026 - 23:00 (Europe/Bratislava) Country Slovakia Type of Contract Temporary Job Status
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production. By developing hybrid architectures combining ontologies, generative models, reinforcement learning, and uncertainty quantification, the PhD project addresses the challenges identified by ICCARE in