1,329 parallel-and-distributed-computing-phd-"Multiple" positions at University of Utah
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proposal development, with direct mentorship and collaboration opportunities across multiple surgical and critical care disciplines. Minimum Qualifications PhD (or equivalent) in Biomedical Sciences
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to identify and validate cancer risk biomarkers. Investigate metabolic pathways and mechanisms linking diet, obesity, and cancer. Collaborate with national and international partners across multiple
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screening materials; develop survey and study data collection instruments; create and distribute recruitment materials (letters, emails, phone scripts) for patients, parents, and healthcare providers. Conduct
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maintains accurate medical records. This position may travel to multiple locations, including our Midvalley clinic in Murray, Population Health Center in Rose Park, and pediatric clinics in Lehi or Salt Lake
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of Medicine. Provides secretarial and administrative support for pediatric ambulatory clinics comprised of 15 pediatric subspecialty divisions and service lines. Coordinates with multiple clinical teams and
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. Create and interpret technical drawings and schematics. Utilize drafting tools or computer-aided design (CAD)/drafting equipment and software in design work. May manage project schedules and budgets. May
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or other data management software. Compare records to University policy and cite violations as needed. Run regular reports using multiple University systems. Present report findings to supervisor on a
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. Must be comfortable working at an in-patient hospital setting. Preferred Experience working with multiple modalities including: Craniosacral therapy, lymphatic drainage, and medical massage. Experience
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thinking, and computer skills. The University of Utah offers a wellness program, great benefits package, and competitive salary commensurate with experience. Mutual respect and appreciation are highly valued
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may close at any time) Job Summary We are seeking a motivated PhD student to join our interdisciplinary research team on a project exploring the use of artificial intelligence (AI) in data-intensive