119 parallel-and-distributed-computing-"Meta"-"Meta" positions at Fred Hutchinson Cancer Center in United States
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allergic response Qualifications Required: Degree or program that provides you the eligibility to attain certification or licensure Washington State Radiologic Technologist Certification (Nuclear Medicine
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stronger. We seek employees who bring different and innovative ways of seeing the world and solving problems. The Cancer Epidemiology Research Program in the Public Health Sciences Division is seeking a
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activities. Works in partnership with internal faculty and staff to create, execute, and track CBIP strategies that addresses prioritized health needs. Communicates program implementation, evaluation, and
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allergic response Qualifications Required: Degree or program that provides you the eligibility to attain certification or licensure Washington State Radiologic Technologist Certification (Nuclear Medicine
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Assistant or Nurse Practitioner program required. Washington state licensure required. DEA required at time of credentialing ACLS required within three months of hire date Strong oral and written
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Required: Must be a graduate of an accredited Physician Assistant or Nurse Practitioner training program. Certified as a Physician Assistant or Nurse Practitioner. 1 year of ARNP or PA-C experience in
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computational analysis, including algorithm development, will be integrated throughout the program. Managing collaborations with other research programs within and outside of the lab will be necessary
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to manage and direct a research program as part of the overall efforts of the Thomas lab will be the core focus of this position. Responsibilities Oversee scientific project design and collaborations within
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. Studies will be focused on primary human samples derived from blood or tissues in individuals with characterized infection or tumor histories. Using a combination of bioinformatic and computational
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on primary human samples derived from blood or tissues in individuals with characterized infection or tumor histories. Using a combination of bioinformatic and computational approaches, we will integrate