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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Molecular Oncology group (http://bit.ly/molonco ) at Institut de Recerca Biomèdica de Lleida
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training an autonomous agent to ‘learn’ a control strategy. This formalism is similar to that of optimal control, with the difference that the agent does not have an explicit model of the dynamics
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as well as international collaborating teams. This position involves tasks where exposure to biological agents may occur. Upon employment, health surveillance will be carried out in accordance with
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-Informed Neural Networks (PINNs) and geometric deep learning. Experience with active learning, agentic workflows, or other methods for autonomous experimentation. Familiarity with high-performance computing
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reliability and trustworthiness. This is especially crucial in high-stakes applications such as medical diagnosis, autonomous driving, and agentic systems. To improve the reliability and trustworthiness
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exploration. These methods will be developed together with the company CargoKite (https://cargokite.com/ ), which develops a ship for autonomous, highly flexible global container transportation. The transport
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, T., Le Cozannet, G. and Merad, M. (2023) Adapter le système assurantiel Français face à l’évolution des risques climatiques. https://www.ecologie.gouv.fr/sites/default/files/Rapport_final_Mission
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conditions, and administrative and technical support, among other benefits. See more information at: https://www.umu.se/en/department-of-computing-science/. You will research in collaboration with
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support, among other benefits. See more information at: https://www.umu.se/en/department-of-computing-science/. You will research in collaboration with the Associate Professor Zoe Falomir. Interested
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the areas of machine learning, machine reasoning and their intersection with applications in, for example, autonomous systems, multi agent systems, and industrial use cases. The employment This employment is