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modeling, and algorithm development, with experimental validation using Chalmers' advanced multi-antenna testbed. The overall objective is to contribute to the development of energy-efficient and high
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before the application deadline* Demonstrate strong mathematical skills, particularly in optimization and algorithm development Have a publication record in peer-reviewed journals (e.g., IEEE Transactions
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-fidelity qubits operations Design and implementantion of automatic calibration techniques for fast tune-up Implementation and benchmarking of quantum algorithms About you You have a relevant PhD deegree
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passive and active flow control algorithms, potentially incorporating machine learning/AI, to enhance aerodynamic performance and stall delay with rapid response times. The research is conducted in
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driving range. The project aims to analyze algorithms for predicting the remaining driving range of EVs and suggest ways to improve the current state of the art. The idea is to develop a model-based
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techniques for fast tune-up Implementation and benchmarking of quantum algorithms About you You have a relevant PhD deegree (Physics, Applied Physics, Nanotechnology, Computer Science, Engineering, or
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and communicating research results verbally and in writing. The main tasks are to develop FSI algorithms for high-fidelity simulations, and conduct in-depth analysis to address aero-/hydro-elastic