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Candidate 51 Faculty of Physics Startdate: 01.11.2026 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Limited until: 31.10.2030 Reference no.: 6205 How can we perform
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As a recent recipient of a prestigious Leverhulme Trust Research Leadership Award, Dr. Christopher Baker is leading a new research team to investigate the application of the spin echo principle to study the effect of gravity on antimatter. The candidate will join this vibrant multidisciplinary...
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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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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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is available from 01 January 2027 or later. You can submit your application via the 'Apply' button above. Title PhD Position in Physical AI: Adaptive Foundation Models for Robotics Research area and
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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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Max Planck Institute for Chemical Physics of Solids, Dresden | Dresden, Sachsen | Germany | 6 days 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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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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are being made 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