131 parallel-and-distributed-computing-phd-"Meta"-"Meta" positions at Fred Hutchinson Cancer Center
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databases. Assists with the financial clearance process as necessary Distributes work to the Program Assistant and/or Patient Care Coordinator Assistant as appropriate Qualifications Required: High school
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for appointments and checks them in using an automated scheduling system. Assembles and distributes appropriate paperwork to patients, families, caregivers and clinical staff. Triage questions and concerns from
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cart with 400 lbs. load. Preferred: One (1) year supply chain experience or other relevant experience preferred. General knowledge of distribution and supply chain activities. Knowledge of and experience
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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 approaches, we will
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. Qualifications MINIMUM QUALIFICATIONS: PhD with 6+ years of relevant experience. Proven performance in a comparable role. Experience in experimental and computational analyses of immune receptor repertoires
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to understand cancer development and to develop new therapeutic strategies. The Fred Hutch/University of Washington Head and Neck Research Program- Fred Hutch and the University of Washington have a world-class
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. Restocks supplies daily and rotates inventory supporting accurate inventory levels, generating requisitions as needed. Distributes medical supplies to patient care areas, while monitoring par levels
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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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projects. Serve as an essential point of contact on scientific progress and future plans for the program. Other duties as assigned. Qualifications MINIMUM QUALIFICATIONS: PhD with 6+ years of relevant
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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