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to conduct research independently, have potential to publish in high-quality scholarly journals, and to teach competently. The position requires fluency in English. The Postdoctoral Researcher is required
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to conduct research independently, have potential to publish in high-quality scholarly journals, and to teach competently. The position requires fluency in English. The Postdoctoral Researcher is required
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research topics can be adjusted within the limits set by our current projects according to the interests of the applicant. Your goal in research will be to produce world-class results, in collaboration with
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results with electrochemical kinetics analysis and computational insights for mechanistic interpretation of LiNRR and beyond-Li NRR. Collaborate with the project partners and support their research
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goal in research will be to produce world-class results, in collaboration with the other group members, and publish them in high-impact journals. In addition to research, you will also be expected
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to work on the discovery of new superconducting materials with high critical temperatures, using novel methods and concepts such as machine learning and quantum geometry. The project is related to large
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optomechanical interaction for the polaritons and mechanical modes in GHz range. The project is carried out in close collaboration with leading experts in semiconductor cavity optomechanics in Berlin, providing
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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
to develop machine learning-enabled approaches for predictive modelling and state estimation for fundamental applications within physical sciences. Your role The main research responsibilities involve building
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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
models. You will also have opportunities to contribute to open-source computational tools and datasets, teach master-level courses, and advise doctoral students. You will closely collaborate with Prof
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and Sobolev-type spaces (with Hytönen and/or Korte), Conformal deformations of metric measure spaces and/or general regularity and convergence for graph-based machine learning using stochastic game