91 computer-science-programming-languages-"the"-"UCL"-"O.P"-"U"-"RAEGE-Az"-"Prof" positions at University of Washington
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of computing devices, operating systems, and software. Ensure reliable and secure operation of production systems while applying institutional technology standards and providing basic user training and
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program oversight, and capital construction risk management for the Project Delivery Group (PDG) at the University of Washington. The Construction Safety Manager will be responsible for safety for all PDG
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awards (scholarships, fellowships, grants, etc.) Answer internship and career placement questions and refer students to the Career Center @ Engineering (CC@E) for additional resources. Program Support
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for ensuring that the Alzheimer’s Research Program clinical trials meet regulatory requirements and are compliant with federal and institutional policies. This will necessitate research protocol submissions
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Nurse Licensure for ARNP or Physician Assistant licensure for PA-C 2. Graduate Degree from and accredited Nurse Practitioner Program or accredited Physician Assistant Program 3. Nationally
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and experience in a team-focused work environment with excellent written and oral communication and interpersonal skills. DESIRED: Master’s or PhD in Biostatistics, Computer Science, Mathematics
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environment with excellent written and oral communication and interpersonal skills. DESIRED: PhD degree in Computer Science, Mathematics, Physics, Biostatistics or related field AND at least four years of work
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LEND (Leadership Education in Neurodevelopmental and related Disorders) training program is an integral part of the faculty and staff approach to care and training. PRIMARY JOB RESPONSIBILITIES
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environment with excellent written and oral communication and interpersonal skills. DESIRED QUALIFICATIONS: Master’s or PhD in Biostatistics, Computer Science, Mathematics, Physics or related field AND three
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of work: Research and Technology Development. Among other responsibilities, the Senior Research Associate will focus on implementing and evaluating large language model (LLM) methods in educational contexts