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on the cutting edge of chemical technology, applied physics and biomedical technology. Our fields of application include sustainable energy, process technology and materials science, nanotechnology and technical
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-materials in which materials research and physical testing form the validated foundation, enabling Digital Twins and AI-based decision support for design and process choices. This full-time position offers
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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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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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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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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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Decision Process (POMDP) is a preferred approach. Defining successful implementation. Engaging patients to understand their concerns and preferences, and assessing the clinical feasibility of alternative
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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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: Within this international project, TU Delft will develop a machine learning-based forward operator to enable the assimilation of SAR imagery into the crop growth model. You will: Process SAR imagery over