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of coronary anatomy from 2D X-ray angiography; develop physics-informed neural networks and graph-based neural operators for fast estimation of 3D coronary hemodynamics (velocity, pressure, and wall shear
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process. This project offers a unique opportunity to work at the intersection of machine learning and control theory. You will develop rigorous theory and scalable computational methods for certifying
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disabilities by providing the necessary support at the workplace. The Human Resources Department can also provide assistance during the recruitment process. If you would like to discuss this further, please
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search. Screening is part of the application process. About the department The Digital Society Institute (DSI) is one of the four university-wide research institutes of the University of Twente (UT
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of systems architecture, definition of related technical requirements and on-ground and in-orbit validation activities. Experience in the 3GPP standardisation process including security aspects. Extensive
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The Faculty of Science and Engineering (FSE) provides teaching and research across a wide range of disciplines, from physics and biology to artificial intelligence, mechanical engineering, and
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master's degree in Engineering or Applied Physics is required for this post together with, in principle, 5 years of relevant professional experience. Additional requirements You must have the ability
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Science, Physics, Mathematics or Computer Science. You have a solid background in computational fluid dynamics (CFD) and be proficient in programming (e.g., Python, Fortran, or C++) and visualization tools
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proposals for new activities, including the selection process and the execution of quality control measures; Managing contracted industrial activities, specifically those related to studies and demonstration
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strong role in packaging the genomic RNA; yet, how this packaging process works and how the N-protein manages to selectively pack genomic RNA is not well-understood. We will study this selective packaging