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the PhD). Other requirements include: Proven track record of publications in IEEE Communications Society’s and IEEE Signal Processing Society’s journals and conferences. Strong background in communication
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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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IEEE Signal Processing Society’s journals and conferences. Strong background in communication theory, signal processing, machine learning, and optimization theory. Strong verbal and written skills in
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the Computer Engineering program . We seek candidates with a research focus on the theoretical foundations and practical applications of advanced machine learning techniques. Emphasis will be given
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given Tiramisu program, many code optimizations should be applied. Optimizations include vectorization (using hardware vector instructions), parallelization (running loop iterations in parallel
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given Tiramisu program, many code optimizations should be applied. Optimizations include vectorization (using hardware vector instructions), parallelization (running loop iterations in parallel
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biology, genetics, bioinformatics, and statistical analysis. Experience conducting coral heat-stress assays and a record of first-author publications relevant to the field are essential. Preferred
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. Optimizations include vectorization (using hardware vector instructions), parallelization (running loop iterations in parallel), enhancing data locality by fusion, and blocking (i.e. accessing arrays in a way
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biology, genetics, bioinformatics, and statistical analysis. Experience conducting coral heat-stress assays and a record of first-author publications relevant to the field are essential. Preferred