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tracking), dataset curation, HPC/GPU programming, blockchain for secure data, C-family languages, and embodied AI/robotics are a plus. Experience with general network resilience, cellular automata
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. Experience with graph-based data analysis or anomaly detection methods. Exposure to high-performance or GPU-based computing environments. Demonstrated ability to contribute to publications or technical reports
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, Assistant Professor position in the construction area, commencing Fall 2026. The successful candidate will be expected to develop a vigorous and sustainable funded research program in their area of expertise
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(Jubail) dedicated to the science division, several GPU-based clusters at NYUAD, and other supercomputer facilities through the CASS network. NYUAD also has guaranteed observing time on the Green Bank
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educational programs with some of the most vibrant research in the nation. Our unique character - shaped by our mission, outstanding academics, facilities, and community life - promotes extraordinary student
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must be able to teach in these and other areas while also contributing to the excellence of our programs through research and service efforts. Candidates are expected to establish and maintain an active
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contact, as identified by AFRL through recent past efforts. This includes the implementation of relevant algorithms and solvers for distributed GPU computing within the JAX Python library. Qualifications
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Description The Engineering Fellowship Program at Kempner Institute at Harvard University offers a structured opportunity for recent graduates (fellows) to further their experience in AI/ML engineering. The
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models or with designing, developing and enhancing HPC libraries like Message Passing Interface (MPI). Experience with programming and using large supercomputers (at least 32 of these GPUs) that have
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conferences. Qualifications: PhD in computer science with file systems, GPU architecture experience. Proven ability to articulate research work and findings in peer-reviewed proceedings. Knowledge of systems