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, and business management direction for NWBioSpecimen/NWBioTrust (NWBio), ensuring effective governance, optimal resource allocation, excellent customer service, and long-term financial and organizational
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professional to provide comprehensive on-ground support for all registrar functions at NU-NYC. This position will serve all NU-NYC students, Scholars program participants, and support broader campus and college
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particle trapping and related measurement techniques. Relevant skills include understanding of fundamental principles, design, optimization, computational electromagnetic, mechanical and thermal modeling
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 7 hours ago
Division Academic Affairs Department Coll of Computing&Informatics (Col) Work Location Woodward Hall Salary Range $65,783 - $72,000 Primary Purpose of Department The College of Computing and Informatics (CCI
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, Computer Science, Electrical/ Telecommunications Engineering, Mathematics, or related field. Ability to conduct research in an academic or commercial environment. Expertise in optimization techniques, graph theory
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Computing Center (MGHPCC). You will help with optimization of code and utilization of scheduler features to maximize throughput of jobs. In addition, you will work with research groups to help identify
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Research Framework Programme? Not funded by a EU programme Reference Number 5501-26831 Is the Job related to staff position within a Research Infrastructure? No Offer Description The Paul Scherrer Institute
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management to improve the performance of the future wireless communication systems. Finally, due to the large-scale nature, complexity, and heterogeneity of 6G networks, for their analysis and optimization, we
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than 1,800 employees and nearly 21,600 students. We are looking for a Postdoctoral Researcher in Robotics and Artificial Intelligence (RAI) (https://www.fieldrobotics.eu/ ) based at Department
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maintain scalable Azure ML compute clusters with autoscaling, monitoring, and resource optimization to support high-performance ML training and inference. Build automated ML training job scheduling