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Field
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(mechanical, electromagnetic, and, possibly, fluid-dynamic) and multi-scale simulations for drone components using finite element tools (e.g., Abaqus, Comsol). · Supporting the development of an AI
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intelligence, epidemiology, health economics, molecular diagnostics, and public health. It is structured around six scientific work packages and three real-world use cases (UCs), with continuous input from a
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sciences and public health. It is structured around six scientific work packages and three real-world use cases (UCs), with continuous input from hospitals, government agencies and healthcare organizations
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manufacture of demonstrator structures Overall, the PhD student will have the ability to develop advanced skills at the intersection of structural mechanics, manufacturing process dynamics, and uncertainty
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supported approaches to help users formulate and translate natural language questions into structured representations that can be linked to geospatial data sources and workflows. You will contribute
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at the Niels Bohr Institute, Faculty of Science, University of Copenhagen. We are located in Copenhagen. We offer creative and stimulating working conditions in a dynamic and international research environment
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The Structural Battery Company, a high-tech manufacturer of EV batteries. Building on Cranfield’s previous APC-funded CERABEV successes using epoxy-based systems with intumescent ceramic phases, this project
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used will be Density Functional Theory, statistics, machine-learning and dynamics. Collaboration with members of other research groups at UCPH and abroad is required. Who are we looking for? We
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, we have a dynamic exchange of international researchers, who stay at the department for a shorter or longer period. For more information about the Department of Management, please visit: http
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Your Job: Develop AI pipelines that translate -omic signatures into dynamic model parameters Implement reinforcement-learning agents that optimise model performance Collaborate closely with