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Assistant Professor (tenure-track) and Associate Professor (tenured) Positions in Computer Scienc...
broadly construed, e.g., functional programming, quantum programming, semantics, type theory, effect systems, formal verification, static analysis, reactive, concurrent, and parallel programming, compilers
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programming would be welcome (CUDA). Required Documents Resume To be considered for this position please visit our web site and apply on line at the following link: https://hr.caltech.edu/work/job_openings We
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instruction of students in x-ray intraoral techniques and demonstrate the proper use of X-ray equipment and digital imagery, e.g., methods to capture parallel and bisecting angles. Assist faculty with
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maintain sophisticated programs crucial to research success Lead training workshops that empower a diverse research community, helping everyone—from students to principal investigators—develop critical
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sound, with human speech at the pinnacle of complexity. Like human babies, songbirds learn their vocalizations early in life from a social tutor. Numerous parallels to human speech learning, including
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Inria, the French national research institute for the digital sciences | Saint Martin, Midi Pyrenees | France | 3 months ago
Framework Programme? Not funded by a EU programme Reference Number 2025-09481 Is the Job related to staff position within a Research Infrastructure? No Offer Description The candidate will be supervised by
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computational, molecular and biophysical techniques. During the project you will design the methodology for, and perform the directed evolution of H-transfer enzymes using parallel selection methods, measure
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fundamentals and hands-on experience with HPC systems; parallel/distributed programming and/or solid UNIX skills Proven experience operating Machine Learning (ML) in production. Able to design, automate, and
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and optimize large-scale training and inference runs for foundation models on JUPITER (multi-GPU/node, mixed precision, parallelization, I/O optimization) Integrate multimodal data sources (e.g., scRNA
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parallel scheduling frameworks and operates the Scalable Systems Laboratory, a cloud-native software testing platform for the NSF Institute for Research and Innovation in Software for High Energy Physics