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Application deadline: 8 January 2027 at 12pm (UK time) The UCL EPSRC Doctoral Landscape Award (UELA) is recruiting for approximately 50 fully funded, 4-year PhD studentships, starting in October
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Candidate 51 Faculty of Physics Startdate: 15.10.2026 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Limited until: 14.10.2029 Reference no.: 6207 Are you fascinated
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The Department of Electronic Systems at The Technical Faculty of IT and Design invites applications for a PhD stipend in the field of wireless-native Physical AI Systems within the general study
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modelling. This is a 4-year researcher position starting at 1 January 2027 or as soon as possible thereafter. Job description The researcher will conduct research in physical oceanography within the Horizon
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Andrew Hodson 23rd October 2026 Languages English English English PhD position in Ionospheric Physics Apply for this job See advertisement About UNIS The University Centre in Svalbard (UNIS
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project description Applications are invited for a three-year PhD position in Physical AI at Aarhus University's Department of Electrical and Computer Engineering. The candidate will join the Adaptive
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Doctor of Philosophy (PhD) in Physical Metallurgy of Hydrogen-Based Iron Oxide Reduction Job No.: 698996 Location: Clayton campus Employment Type: Full-time Graduate Research Degree: 3291 - Doctor
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Max Planck Institute for Chemical Physics of Solids, Dresden | Dresden, Sachsen | Germany | about 4 hours ago
Job Offer from October 01, 2026 The International Max Planck Research School for Chemistry and Physics of Quantum Materials is a joint PhD program between the Max Planck Institute for Chemical
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Some of the biggest open questions in modern physics concern the limits of the Standard Model and General Relativity. The nature of dark matter and dark energy remains unknown, and many theories
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with incomplete information. Synthetic data offers a way out: realistic-but-artificial datasets that preserve the statistical, temporal and physical structure of real energy data without identifying real