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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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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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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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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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. Experience and expertise in human mobility simulation and prediction with agent-based modeling and deep learning techniques. Proficient in Python programming for geospatial data processing, modeling, and
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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
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capability in nitrocellulose (NC). In the project we map how the properties of the cellulose feedstock affect the nitrocellulose that can be produced. Your role is to characterise different cellulose
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different informational and institutional settings. Research in the group draws primarily on economics and business administration while also working with researchers in other disciplines. The successful
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situations frequently require different team compositions, communication structures, or varying degrees of centralization and decentralization. The project aims to enable adaptive coordination, especially in
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, modeling to scaled-up manufacturing. The 2-year postdoc project Electrochemical properties of solid-state batteries and analysis of interactions between its different components will be shared between Depts