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fair consideration. Challenge. Change. Impact! The Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) brings together three scientific disciplines. Combined, they reinforce each
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research group. The group belongs to the Intelligent Electrical Power Grids (IEPG) Section of the Electrical Sustainable Energy (ESE) Department, which is part of the Electrical Engineering, Mathematics,and
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Do you posess expertise in statistical methods and techniques, sociology, mathematics, or the social sciences, coupled with a keen interest in digital technologies and human rights? The Faculty
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. Candidates for this challenging project should have a PhD degree and background in e.g., systems and control, computer science, applied mathematics, electrical engineering, mechanical engineering, or chemical
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. The ideal candidate does not exist, and no one is perfect. Ph.D. degree (awarded or close to completion) in Robotics, Control Theory, Computer Science, Applied Mathematics, or a closely related field
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or applied mechanics, materials science, mechanical engineering, applied mathematics, computer science). Experience in machine learning for scientific applications. Strong programming skills (Python, PyTorch
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Delft3D). The candidate needs to have: Profound knowledge of the physics and mathematics of environmental fluid flows and the associated transport and mixing processes (turbulence); Creativity in
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of both spacecraft and natural solar system bodies. Specifically, we are looking for someone with the following profile: M.Sc. or Ph.D. in the field of Aerospace Engineering, Physics, Mathematics, Earth or