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Department of Molecular Sciences conducts research, teaching and has state-of the art equipment in filtration and advanced infrastructure for microscopy, molecular characterization, X-ray and NMR. We offer
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(e.g., model compression/simplification and hardware-aware optimization). We are also interested in how resource-efficiency interacts with broader sustainability aspects of machine learning such as
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institutions in other countries. You will be situated at the Section for Fish and Shellfish Diseases in Kgs. Lyngby near Copenhagen. The section offers state-of-the art laboratory and experimental facilities
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research questions from several fields such as software and domain engineering, system modelling and analysis, application adaptability and integration, human computer interaction, security, and
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these challenges by advancing sensitivity-based modelling, fluid–structure interaction (FSI) methods, inverse problem solving, and surrogate modeling techniques, ultimately enabling predictive, adaptive, and
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verification and Large Language Model (LLM) safety, focusing on extending state-of-the-art logic-based automated reasoning tools such as ESBMC (https://github.com/esbmc/esbmc ) to address safety and reliability
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: Are you an ambitious scientist looking to push the boundaries of research while interacting with colleagues from multiple disciplines and cultures? Then joining the IPP is your opportunity to give your
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existing benchmarks rely on open-loop evaluation and fail to capture closed-loop interactions between a vehicle and its environment. This PhD project focuses on evaluating VLA models using closed-loop
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candidate will also be part of the Institute for Ethics and History of Medicine and will have the opportunity to interact with other members of the institute. Application Interested candidates should submit
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of the four campuses (two in Chicago, one in London, and one in Hong Kong) reflects the architectural traditions of its environs while offering a state-of-the-art learning environment. Chicago Booth is proud