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allowed computational fluid dynamics (CFD) to flourish, becoming an indispensable for many industries. Simulating the full Navier-Stokes equations is computationally prohibitive for most applications, so
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to apply for the PhD position within the Dynamics and Control section at the Department of Mechanical Engineering, Eindhoven University of Technology. The mission of the Dynamics and Control Section is to
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mathematical control theory, and a keen interest in machine learning to apply for the PhD position within the Dynamics and Control section at the Department of Mechanical Engineering, Eindhoven University
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Home and International applicants and covers fees plus maintenance and a research support fund. We are looking for a talented and motivated individual to join a large and dynamic multidisciplinary
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Are you passionate about dynamical systems and system theory? Are you interested in making the design process of complex dynamical systems simpler by smart new tools for systems engineering? Are you
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We invite applications for a fully funded PhD position in the field of numerical modelling of iron electrodeposition, i.e., multiphase flows involving phase change, using fully resolved CFD methods . This position is part of the newly funded project EcoIron of Prof. Y. Tang by a European...
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studies conducted by the combustion dynamics team of the EM2C laboratory, particularly on topics related to hydrogen. They will contribute to the operation of single- and multi-injector experimental test
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Data-driven predictions of dynamical systems are used in many applications, ranging from the design of products and materials to weather and climate predictions. Mathematical concepts from geometry
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temporal patterns across different neurons in the neocortical circuit and use them for closed-loop brain stimulation. By examining how these spatiotemporal dynamics relate to behaviour, you will develop new
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evolutionary dynamics from cfDNA" under the guidance of Prof. Trevor Graham at the ICR. Please see https://www.icr.ac.uk/study-and-careers/phds-at-the-icr/our-phd-projects/detail/towards-non-invasive-monitoring