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, or space systems, combined with an interest in communication networks. Applied Physics or Physics, particularly if you enjoy applying fundamental concepts to real-world engineering challenges. Computer
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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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, Information & Computing Sciences, Physics, Chemistry and Mathematics. Together, we work on excellent research and inspiring education. We do so, driven by curiosity and supported by outstanding infrastructure
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to computational methods for imaging. You have: a Master's degree in mathematics, applied mathematics, computational science, mathematical physics, or a closely related field; a strong background in one or more of
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to cooperate closely with other researchers and our industry partners. Furthermore, you meet the following requirements: You hold a Master’s degree in Materials Science and Engineering, Physics, Chemistry or a
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courses, and write scientific articles and a final thesis. For more details please check the Graduate Schools Admission Requirements . Please note: You can apply online. We will not process applications
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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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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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Resources Department can also provide assistance during the recruitment process. If you would like to discuss this further, please contact us via email at [email protected] . Important
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encouraged to contact prof. S. Kersten ([email protected] ). Please apply via the button below. About the department The Sustainable Process Technology (SPT) group is part of the Faculty of Science and