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10 trainees. Our fellowship programs include two ACGME programs, Abdominal Imaging (two trainees) and Neuroradiology (4 trainees). We also offer unaccredited fellowships, Breast Imaging
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California State University, Long Beach | Long Beach, California | United States | about 11 hours ago
support team of tenured and tenure track librarian mentors that provide guidance through the tenure process. Library faculty can participate in Faculty Center and Academic Technology Services (ATS
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California State University, Long Beach | Long Beach, California | United States | about 11 hours ago
achievement; building community; and cultivating resilience. College of Engineering Department of Computer Engineering and Computer Science (CECS) Required Qualifications: Ph.D. in Computer Science, Computer
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moving computers, printers, and other end user technology devices, including installing designated system images and application software Understanding of various current OS environments, Active Directory
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, computer science or signal processing. Funding Notes This is a self-funded research project. Full details of how to apply can be found at the following link: https://www.sheffield.ac.uk/acse/research-degrees
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work on one or a number of these aspects. Students with good degrees on robotics, electrical engineering, computer science, mathematics, cognitive science or subjects where signal processing and
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programming, robotic technology (e.g., robotic arms, co-bots), image capturing systems, augmented and virtual reality equipment, and other advanced manufacturing technology. Research and recommend new
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development trainings and participate in the performance evaluation process. We require these qualifications: BS in health physics, nuclear engineering, radiological engineering, radiological sciences, physics
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well as a commitment to UTRGV’s guiding principles (http://www.utrgv.edu/strategic-plan), which include promoting access to postsecondary education to a diverse student body and to becoming one of the largest
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data sets (genomics, proteomics, imaging, neuroscience), and related areas at the interface of computer/data science and the life sciences. Applicants must hold a Ph.D. in Engineering, Computer