579 postdoc-parallel-computing positions at The University of Arizona in United-States
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architecture. To learn more about compensation, please review our Applicant Compensation Guide and our Total Rewards Calculator . Career Stream and Level PC2 Job Family Marketing Job Function Communications
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compensation growth opportunities within its career architecture. To learn more about compensation, please review our Applicant Compensation Guide and our Total Rewards Calculator . Career Stream and Level
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checklists, and conflict of interest forms, to Sponsored Project Services (SPS) to initiate institutional review and obtain necessary signatures. Manage specialized sponsored program submissions, such as
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platforms. Manage and oversee records each fiscal year to include letterwinner awards and program participants on individual student-athlete records. Educate current Arizona student-athletes about the history
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items not in food service. Puts produce away and take daily inventory. Informs units if their orders are incorrect. Gets cover sheets from buyer and computer generated cover sheets. Checks invoices
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its career architecture. To learn more about compensation, please review our Applicant Compensation Guide and our Total Rewards Calculator . Career Stream and Level PC1 Job Family Research & Data
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. In addition to the education and experience minimum qualifications, Apprenticeship program, technical training experience required. Minimum of 3 years of relevant experience, or equivalent combination
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, AZ USA Position Highlights This 4-H Program Coordinator position will be part of a dynamic team of professionals developing and delivering STEM education and community outreach programs at Tucson
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architecture. To learn more about compensation, please review our Applicant Compensation Guide and our Total Rewards Calculator . Career Stream and Level PC2 Job Family Investments Job Function Finance Type
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Qualifications PhD in data science, biomedical informatics, computational biology, neuroscience, or related field. Demonstrated experience in analyzing real-world medical data and applying machine learning