92 network-coding-"Chung-Ang-University"-"Chung-Ang-University" positions at The University of Arizona
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Sign In Create Profile Network Engineer II Chandler, AZ, United States | req23594 Apply Now Share Save Job Posted on: 8/12/2025 Back to Search Network Engineer II Posting Number req23594 Department
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the Department of Psychology. The position is funded by an NIH grant (title: “Precision Aging Network: Closing the Gap between Cognitive Healthspan and Human Lifespan” (U19AG065169; PI: Dr. Barnes). The research
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convolutional neural networks that can infer parameters on a Kinematic Lensing measurements from imaging and spectroscopic date taken by the Dark Energy Spectroscopic Instrument (DESI). Background knowledge in
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—including power, cooling, and security systems—while ensuring seamless collaboration with campus units such as public safety, facilities management, networking, systems administration and building operations
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codes and safety regulations. Additionally, this role requires strong technical expertise, problem-solving skills, and a commitment to safety and efficiency. The ideal candidate will also demonstrate
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of this position will be development of custom neural networks for functional annotation of protein sequences. This is an Extended Temporary Employment (ETE) position. Outstanding UA benefits include health, dental
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Network (CP-CTNet). This requires extensive expertise in clinical trial data processes, quality assurance, and regulatory/statistical reporting. The ideal candidate will independently collaborate with UACC
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partners, CEAL, patient support/empowerment networks, and other clinical teams to assess intervention feasibility and support multi-center research initiatives. Outstanding UA benefits include health, dental
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design, social construction of disability, and intersections of disability with campus environments. Participate on University committees, task forces and networks and serve a liaison role with other units
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the developed geospatial databases to evaluate trends in stream networks across the US. Work will be done primarily in python and GIS. Candidates will be expected to create maps and graphs of trends in network