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resolution, treatment precision, and safety. The candidate will be involved in one or more of these areas, including the design of novel reconstruction algorithms, antenna elements, imaging and hyperthermia
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ISAC demonstrators. Implement and optimize advanced signal processing algorithms for joint communication and sensing. Analyze experimental datasets, extract statistical models, and compare findings
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/software testbed. Integrate SDRs (e.g., USRPs, RFSoC) and RF front-ends (FR2, FR3, V-band) into end-to-end ISAC demonstrators. Implement and optimize advanced signal processing algorithms for joint
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on Antennas and Propagation, Volume 61(3): 1285, 2013 Gimbutas Z, Greengard L: Journal of Computational Physics 232: 22, 2013. doi:http://dx.doi.0rg10.1016/jjcp.2012.01.041, arXiv:1104.5293v1 key words
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of advanced and innovative methodologies for the design of unconventional antenna arrays based on the concepts such as modular tiling, irregular clustering, and sparsening/thinning, as
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of advanced testbeds to the implementation of antenna structures. We are now looking for a new colleague in the form of a doctoral student in Electrical Engineering with focus on secure distributed learning
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of antenna structures. We are now looking for a new colleague in the form of a doctoral student in Electrical Engineering with focus on secure distributed learning. Being a doctoral student As a doctoral
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and familiarity with radar signal-processing algorithms. Key responsibilities include contributing to radar hardware architecture, system integration, and the construction of experimental sensing
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and optimize advanced signal processing algorithms for joint communication and sensing. Analyze experimental datasets, extract statistical models, and compare findings across environments, hardware, and
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processing algorithms for joint communication and sensing. Analyze experimental datasets, extract statistical models, and compare findings across environments, hardware, and frequency bands. Collaborate with