127 parallel-computing-numerical-methods-"Simons-Foundation" positions at Delft University of Technology (TU Delft)
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Applicable Hours Per Week 40.0 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer
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Engineering, Physics, Applied Mathematics, or related discipline. Proven track record in numerical methods and computational fluid dynamics. Proven track record in machine-learning methods for computational
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the Numerical Analysis group at TU Delft. The group is internationally recognized for its contributions to iterative methods, numerical linear algebra, and parallel computing. The project will be carried out in
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information science. Good knowledge of mathematical and theoretical physics methods of describing random processes and random fields. Experience with analytical and/or numerical methods for modelling qubit dynamics
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of Architecture and the Built Environment), where you will collaborate closely with a parallel PhD project within the Faculty of Aerospace Engineering focused on meshfree numerical methods. Together, you will work
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. You will join the Computational Multiphysics in Offshore Engineering (CMOE) group (https://tudelftcmoe.super.site/ ), a dynamic research team dedicated to developing state-of-the-art numerical methods
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We seek a postdoc to design and test smart metamaterial solutions
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Join us at TU Delft to develop monitoring and modelling tools
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Do you want to help design and test circular PV modules
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. Solid experience in C++ programming and FPGA development. Familiarity with signal processing, analog/digital electronics, high-throughput data processing, and parallel computing. Strong analytical skills