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or streaming data. Develop parallelized and GPU-accelerated learning modules, ensuring scalability and performance efficiency. Build and maintain robust data pipelines for high-throughput modeling over
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domain; Fast CEM algorithms in time domain; High-frequency methods and their hybridizations; Acceleration techniques for fast CEM solvers; CEM based SAR and ISAR image processing techniques; The potential
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Professor will be responsible for teaching and research in some of these areas: computer architecture, media, database, algorithms, parallel and distributed systems, etc. Only shortlisted candidates will be
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