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the Division of Condensed Matter Theory (https://www.pks.mpg.de/condensed-matter ) range from strongly correlated Fermions and Bosons, spintronics, quantum dynamics in and out of equilibrium, via topological
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it by utilizing heat. Modeling such a storage system allows the evaluation on overall process efficiency and comparison with state-of-the-art technology, e.g. reciprocating compressors. In your thesis
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Profile: Very good results in your Master’s degree in the field of energy technologies, engineering, environmental sciences, renewable energies, industrial engineering, materials and geosciences or a
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In cooperation with the Chair of Laser Technology LLT, the Fraunhofer Institute for Laser Technology ILT offers the opportunity to write a thesis. The Laser Material Deposition (LMD) department
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supporting a broad range of interdisciplinary user experiments as part of an international team of physicists and engineers Develop advanced concepts for numerical and experimental optimisation of electron
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on research fields, such as Neurosensory Science and Systems (University of Oldenburg) https://uol.de/en/phd-neurosensory-science-2 Auditory Sciences: Physics and Engineering, Physiology and Therapy of Hearing
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supported by career development measures including at least one international research stay. For TUD Dresden University of Technology (TUD) diversity is an essential feature and a quality criterion of an
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(e.g., Python, MATLAB) Practical experience with laser optics, vacuum technology, cryogenics, and FEM simulations is highly desirable Proactive working style with high level of commitment in solving
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Max Planck Institute for Solid State Research, Stuttgart | Stuttgart, Baden W rttemberg | Germany | about 1 month ago
includes cutting-edge research projects on quantum materials, nanoscale science and energy research and provides access to internationally unique research infrastructure. Our staff of 400 work in a dynamic
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Related works: [1] Sagawa et al., Distributionally Robust Neural Networks for Group Shifts (GroupDRO) https://arxiv.org/pdf/1911.08731 [2] Liu et al., Just Train Twice: Improving Group Robustness Without