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project and joining Dr. Jordi Cabot’s team (20+ members). BESSER is aimed at building better smart software faster with a combination of low-code / model-driven and Artificial Intelligence techniques. As
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/AI-driven modelling for microstructural engineering of AM. The project is part of a Villum Investigator grant titled “Microstructural engineering of additive manufactured metals - MicroAM” funded by
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KNEE). For the ENGIN Knee project, we are combining state of the art methods, ranging from advanced computer modelling (in silico), through robot driven testing of implanted knees (in vitro), to 3
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will focus on the development and application of computational fluid dynamics (CFD), multiphysics modelling, and AI-driven optimisation for RAM systems. These approaches will be used to better understand
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programmability, network exposure APIs, service orchestration, O‑RAN, network slicing, and data-driven optimization. You have proven experience with AI/ML pipelines, including data processing, model training
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multiple priorities Experience in system implementation, business process re-engineering and process documentation Experience with computational methods, data analysis or modelling to support organizational
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environment. We are driven to connect technology development with meaningful biological insights, aligning with the research and clinical missions of St Jude. Candidates with interest and expertise in
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-design and evaluate data-driven solutions. Support technology adoption among agricultural operations consistent with land-grant mission. Teaching & Workforce Development Develop and teach undergraduate and
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: The postdoctoral researcher will contribute to ongoing research projects in computational modeling, multiscale simulation, and data-driven design of functional materials for structural applications. The position
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is on energy modeling, data-driven planning approaches, and the development of innovative data infrastructures for national and municipal energy planning. Candidates should have experience in energy