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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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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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for education and research. Learn more about our codes of conduct We are located on one physical campus, in the heart of Amsterdam's Zuidas business district, with excellent location and accessibility. Over 6,150
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-like dynamics in synthetic systems remains a major challenge across physics, chemistry, biophysics, and materials science. In this PhD project, you will: § Develop an experimental platform to study 3D
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Work Activities This fully funded PhD position lies at the interface between fundamental physics and industrial application. It is part of activities in ARCNL’s Source Department. The research
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programming (Matlab and/or Python); Hands on with laboratory work, skilled in experimental design; Creativity, assertive attitude, and perseverance The selection process will start immediately; the intended
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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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. An example is the extension to turbulence statistics, rather than just mean velocity profiles. You will join the Process & Energy (P&E) department at TU Delft’s Mechanical Engineering faculty, working in a lab
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Geography & Spatial Planning, Physical Geography, and Sustainable Development. More information For more information about this position, please contact Judith Verstegen external link at [email protected]