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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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process Inquiries about this position may be directed to: Professor Lisa Baddeley, [email protected] Professor Dag Lorentzen, [email protected] Application deadline: 23.10.2026 Security policy cooperation UNIS
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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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We are seeking a highly motivated researcher in Physical Oceanography to join our interdisciplinary marine research environment. The successful candidate will contribute to cutting-edge research
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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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Max Planck Institute for Chemical Physics of Solids, Dresden | Dresden, Sachsen | Germany | about 11 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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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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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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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
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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