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layout selection after an exhaustive search, which becomes suboptimal, and even infeasible for a large number of antennas. Besides, the electromagnetic (EM) effects, such as mutual coupling, are ignored in
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demonstrable background in power system stability and control, and in electromagnetic transient modelling and control of power electronic interfaced devices, and an in-depth knowledge of classic and modern
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) algorithms to retrieve virtual reflection responses from multi-source-receiver GNSS-R data, and 2) full-wave inversion by joint model- and data-driven methods. The first step is to compute electromagnetic wave
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demonstrable background in power system stability and control, and in electromagnetic transient modelling and control of power electronic interfaced devices, and an in-depth knowledge of classic and modern
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. Background in signal processing and wireless networks is appreciated. Proficiency in programming languages such as Python or MATLAB. Experience with simulation tools and software for electromagnetic and