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learning and simulation-based inference for searches for dark matter (or other “invisible” new physics signals) at the Large Hadron Collider, with the support of competent and friendly colleagues in
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models for complex data, including temporal data. We are interested in both data-driven models as well as models built from synthetic data. Within privacy, we are interested in different types of privacy
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generation, conversion, and utilization in different electro- and thermo-mechanical systems where the study of heat transfer, fluid mechanics, reactive flows, as well as solid mechanics plays a central role
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) including a complete publication list, Certified copy of doctoral degree certificate or documentation when the doctoral degree is expected to be obtained, Verified copies of other diplomas, list of completed
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numerical simulations to understand molecular mechanisms of epigenetic regulation by the Polycomb and Trithorax group proteins. Project description Chromosomal rearrangements of the human MLL1 gene
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with different CO2-reduction catalysts. The work is mainly laborative, but writing of texts aimed for scientific publications is also a part of the work duties. Qualification requirements Applicants must have: A
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in large pre-trained models (vision-language models), generative models (flow matching, diffusion), simulation-based inference, and robust and active learning. The group has a wide network of
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research. Particular attention will be given to the spatial and temporal dimensions of transportation impacts, differences between transport modes and geographical contexts, and the implications
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Description Job description Game theory is rapidly gaining traction in several engineering applications as the natural framework for multi-agent decision making. Yet, unlike optimization, game theory has
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orchestration across different network components, as well as to the development of sensing algorithms and ISAC solutions. The postdoctoral researcher will also play an active role in coordinating research