15 postdoc-computational-fluid-dynamics PhD positions at University of Twente in Netherlands
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Vacancies PhD Position in Computational Biology: Digital Twins & Disease Modeling for Precision Osteoarthritis Treatments Key takeaways Osteoarthritis (OA) is a complex disease in which multiple
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dynamics and prediction of treatment effects. In addition, we use in vitro models consisting of cultured neurons (from rodent or human induced pluripotent stem cells) on multi-electrode arrays to study basic
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and hardware. Expect a dynamic, cross-border innovation ecosystem where your contributions directly influence the future of sustainable transport. Information and application Are you interested in
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. This presents an opportunity to push the boundaries of fundamental fluid and atmospheric dynamics, enhance wind farm efficiency, and deepen our understanding of their interaction with the atmosphere. Join us in
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fluid and atmospheric dynamics while developing simulation technologies. Our aim is to create innovative simulation strategies enabling simulations with unparalleled detail. Join us in advancing the
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almost every product we use, mathematics, electronics and computer technology contribute to all of society's activities. The faculty works together intensively with industrial and medical partners
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simulation PhD-colleague at Leiden University and with your colleagues in the Physics of Complex Fluids (PCF) and Photocatalytic Synthesis groups (PCS) at the University of Twente. Electrochemical processes
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the department The Department of Applied Earth Sciences combines earth scientific knowledge with dynamic modelling and advanced remote sensing, to analyse earth systems and processes in space and time
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and scalable decision framework that leverages AI to incorporate measurable ESG indicators alongside traditional financial risk factors. The envisioned framework will be dynamic, allowing ESG factors
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of application. Proof of English proficiency About the department The PhD student will join CAES, a group working on the most efficient and effective computer architectures of the future, from large-scale data