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Position Description The Condensed Matter and Quantum Information Theory groups, led by Michael Knap, Johannes Knolle, Barbara Kraus, and Frank Pollmann expect to appoint expect to appoint a Junior
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theoretical researchers. Further information can be found at https://www.ph.nat.tum.de/cmt/ . The postdoctoral fellowship from the Condensed Matter and Quantum Theory groups at TUM is planned to be offered
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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Göttingen, Niedersachsen | Germany | about 2 months ago
PhD position (m/f/d) | Theory of Turbulent Convection Young Researchers Göttingen Complex Systems Job Code: MPIDS-W093 Job Offer from August 25, 2026 In the Max Planck Research Group “Theory of
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Göttingen, Niedersachsen | Germany | 14 days ago
PhD Student or Postdoc (f/m/d) | Theory and methods for non-equilibrium theory and atomistic simulations of complex biomolecules Young Researchers Göttingen Developmental and Evolutionary Biology
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(BMFTR). Q-SCALAR is a five-year research project aimed at developing the next generation of quantum communication protocols by combining multipartite entanglement, graph states, quantum networks
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(BMFTR). Q-SCALAR is a five-year research project aimed at developing the next generation of quantum communication protocols by combining multipartite entanglement, graph states, quantum networks
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events. What we expect A solid background in at least one of the areas essential for the CRC, e.g., higher category theory, algebraic/arithmetic geometry, homotopy theory, geometric topology, measured
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<span lang="en">Leipzig University</span> | Leipzig, Sachsen | Germany | about 13 hours ago
thermodynamics and control theory. The project combines:
- Self-thermophoretic Janus microswimmers driven by dynamic laser landscapes (Cichos group, Leipzig)
- Light-powered bristle robots on
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<span lang="en">Universitätsklinikum Hamburg-Eppendorf</span> | Hamburg, Hamburg | Germany | 16 days ago
deep learning; this is not binding.
- Solid foundation in statistics and machine learning, and interest in geometric or topological deep learning, graph neural networks or related methods
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diploma. The applicant should have a solid background in several of the following fields: algebra, combinatorics, real algebraic geometry, optimization, functional analysis, probability theory or