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, accurate, and physics-informed machine learning models for predicting blood flow in patient-specific vascular geometries. Current simulation-based approaches require complex 3D meshes and are often too slow
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of receiving the link) into the media database. Please upload video files (mp4, maximum resolution 1080 pixels) only. The composition subject subject as well as sound engineering, sound studies, etc
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-computing hardware Work in an interdisciplinary team of engineers, computer scientists, and life scientists Regularly participate in international conferences to present your own work, and learn about state
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engineering, biotechnology, computational biophysics, bioinformatics, data science, or a closely related discipline with a strong academic record Genuine interest in data-driven and physics-based modeling
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, computer science, physics, material science, earth science, life science, engineering, or a related field Proficiency in at least one programming language (Python, R, C++, Julia, …) Good analytical skills with a
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are researching this and similar questions. Our goal is to systematically optimise the interaction between people, organisations and technology. With us, your theory also passes the practical test. Bring your
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requirements, see below): Jordan University of Science and Technology, Irbid (JUST) M.Sc. Computer Engineering* M.Sc. Network Engineering and Security* M.Sc. Radiologic Technology** M.Sc. Medical Laboratory
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the fields of medicine, biology, chemistry, physics, technology, and the humanities. Since 1948, MPI researchers have been awarded 21 Nobel prizes, which testifies to the quality and innovation of MPI research