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6 Mar 2026 Job Information Organisation/Company Nantes Université Department CEISAM UMR-CNRS 6230 Research Field Chemistry Researcher Profile First Stage Researcher (R1) Positions PhD Positions
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reliability through systematic validation methods. CAVECORE combines cutting-edge research in AI-enabled robotics with novel evaluation frameworks aligned with EU AI Act requirements. More information: https
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Master Thesis in Physics or Materials Science: Remanent phase shifter based on memristive technology
website: https://www.fz-juelich.de/en/pgi/pgi-7 and the website for the mentioned project (in German): https://neurosys.info/projekte/ Your Profile: Completed qualification for enrollment in the project
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1st April 2026 Languages English English English The Department of Structural Engineering has a vacancy for a PhD Candidate in Risk-Consistent Design of Protection Structures for Climate-Adapted
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to the Ph.D. degree. Read about admission to the Faculty's PhD program here: https://www.sv.uio.no/english/research/phd/application/phd-fellowship/index.html Advanced statistical and quantitative skills
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Application deadline: 30/04/2026 Research theme: Nuclear Engineering How to apply: https://uom.link/pgr-apply-2425 This 3.5-year PhD project is fully funded; home students are eligible to apply
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Missouri University of Science and Technology | Rolla, Missouri | United States | about 11 hours ago
with strong interpersonal skills, reliable, detail-oriented, creative, and have a strong record of research productivity. Key Responsibilities • Assist with laboratory management, organization, and
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Researcher Profile Other Profession Positions PhD Positions Application Deadline 13 Mar 2026 - 15:00 (Europe/Bucharest) Country Romania Type of Contract Temporary Job Status Part-time Hours Per Week 15 Offer
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Fotograf Morten Hjertø 30th April 2026 Languages English English English The Department of Ocean Operations and Civil Engineering has a vacancy for a PhD Candidate in AI-Enabled Uncertainty Analysis
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, energy consumption, and packet loss. The use of distributed machine learning provides a relevant solution to mitigate the lack of communication reliability [3][4]. This PhD proposes to guide the learning