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Max Planck Institute for the Structure and Dynamics of Matter, Hamburg | Hamburg, Hamburg | Germany | 12 days ago
-fast phenomena, X-ray physics and dynamical imaging in all areas of science, covering physics, chemistry and biology. 23 interdisciplinary PhD positions in Ultrafast Science and Quantum Materials – IMPRS
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18th October 2026 Languages English English English The Department of Physics has a vacancy for a PhD Candidate in AI-assisted medical imaging with MRI Apply for this job See advertisement Are you
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No. 101168344 Position: Doctoral Candidate – full-time, 12-month position Research Target: Trustworthy and Reliable AI for Cyber-physical Systems Deadline: 18 October 2026 Expected Start Date: 1 November 2026 How
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Develop advanced models to understand and predict piping and internal erosion in dikes. As a PhD researcher at TU Delft, you will connect fundamental fluid–soil interaction physics with
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21 Sep 2026 Job Information Organisation/Company Max-Born-Institute Department T2 Research Field Physics » Other Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application
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graduate and undergraduate researchers, and help maintain shared instrumentation and safe laboratory practices. Required Qualifications Ph.D. in Chemistry, Physics, Materials Science, or a closely related
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18 Sep 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Engineering » Electrical engineering Engineering » Mechanical engineering Physics » Applied
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International Centre for Translational Eye Research / Institute of Physical Chemistry, Polish Academy of Sciences | Poland | 8 days ago
23 Sep 2026 Job Information Organisation/Company International Centre for Translational Eye Research / Institute of Physical Chemistry, Polish Academy of Sciences Department Computational Genomics
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safety, ecosystem degradation, and declining water quality. Given the growing challenges faced by these environments, there is an urgent need to improve our understanding of the physical, ecological, and
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scientific knowledge, such as physical laws, differential equations, and domain-specific constraints, to model, simulate, and understand complex systems. The project will explore modern SciML methods