266 genetic-algorithm-computer-"Washington-University-in-St" positions at University of Virginia
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supporting pressure injury prevalence data collection, evidence-based policies, procedures, and protocols, and advisement of appropriate support surfaces, products, and staff decision-making algorithms
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The UVA Medical Center Administrative Fellowship Program provides individuals with a post-graduate experience in an academic medical center to better prepare them as a healthcare leader. Fellows
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disorders. Communicate findings to the scientific community through conference presentations and publications. Preferred Qualifications: PhD in Computational Biology, Bioinformatics, Genetics, or a related
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Center. The broad areas of interest in Dr. Trinh's lab include: gene regulation by RNAs and proteins, modulation of gene-specific chromatin architecture, blood development, cancer and genetic diseases
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Biology and Stem Cell Biology in the laboratory of Dr. Lu Le , Professor and Chair of the Department of Dermatology. Dr. Le's lab lab investigates how genetic and microenvironmental factors interplay
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: Education: Graduate of an accredited JRC program in Radiography required. Associate's Degree in Radiography preferred. Experience: No experience required Licensure: Registered Radiologic Technologist through
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orientation programs and other anchor SDS events. ▪ Conduct continuous assessment of programs to determine student learning outcomes and program effectiveness. ▪ Support career mentorship-related initiatives
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program. Experience: Three years of experience required. Licensure: BLS required. Certified to practice as a Surgical Technologist by NBSTSA (The National Board of Surgical Technology and Surgical Assisting
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assistant program with a master’s degree. Experience: Department and unit specific. Licensure: License or license eligible as an Advance Practice Provider (Nurse Practitioner, Physician Associate, Certified
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equipment using established ACR and FDA guidelines along with imaging protocols set within the mammography program. Documents correct information on each patient using EMR and facility reporting systems