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Position Summary: Are you a talented and experienced computer engineer seeking to make a lasting impact on cutting-edge research and innovation? Look no further than the Applied Sensing division
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. Since 2020, Fraunhofer Heinrich Hertz Institute has worked with United Nations
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program, and the personal development of focused clinical and/or basic science research activities parallel to their clinical practice. The applicant must be self-directed, detail-oriented, and adaptable
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, Git, Azure Data Studio, pandas, NumPy, and Scikit-learn. Experience with High-Performance Computing (HPC) platforms with advanced skills in SLURM-based multi-node, multi-GPU training, data parallelism
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, we seek a highly motivated researcher with a proven track record in parallel programming models for CPS, high-level compilers, system and computer architecture and automatic code optimization
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the REACT Doctoral Network. In this context, we seek a highly motivated researcher with a proven track record in parallel programming models for CPS, high-level compilers, system and computer architecture and
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are service-orientated, proactive, thorough and able to quickly find solutions to questions and problems. You enjoy managing multiple tasks in parallel and working independently, efficiently and in a
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(RSE) Group. In the RSE Group, we collectively provide computational research expertise to multiple divisions within the University. As a central team of software experts, we are focused on improving
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University of California, San Francisco | San Francisco, California | United States | about 1 month ago
experience. Strong computer skills; proficiency in Microsoft Outlook, Word, and Excel. Experience navigating multiple patient record systems. Excellent communication, problem-solving, and organizational skills
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to multiple divisions within the University. As a central team of software experts, we are focused on improving the quality, performance, and sustainability of Princeton’s computational research software. Our