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. For questions regarding this position, please contact Prof. Rebecca Pompano, Ph.D., at PompanoGroup@virginia.edu . For questions about the application process, please contact Rich Haverstrom, Faculty Search
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assists in experiments for the Infectious Diseases Division the laboratory of Prof. Steven Zeichner, MD, PhD. The goal of the lab is to study infectious disease pathogenesis and work to develop new
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will apply state-of-the-art machine learning algorithms and custom disease-relevant genomic datasets (e.g., coronary artery single-nucleus chromatin accessibility and RNA sequencing) to develop targeted
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on highly complex technology, algorithm development and data management and analysis. CDT is a recognized world leader in the technological treatment of diabetes and the hub of an international research
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learning algorithms on graphs to model, characterize, predict, and design the thermal and physical behaviors of diverse material systems. Responsibilities also include the development of software codes
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prevalence data collection, evidence-based policies, procedures, and protocols, and advisement of appropriate support surfaces, products, and staff decision-making algorithms. • Provides consultation and
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diseases. The Lukens Lab is particularly interested in interrogating the roles played by inflammasomes, immune-based DNA damage sensors, ITAM/ITIM receptors, and microbiota in the pathogenesis
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Supervisor will adhere to prescribed algorithms and guidelines for making staffing decisions. As Incident Commander for Emergency Management the SRO Nursing Supervisor will coordinate the dissemination
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submission to journals and conferences. Present research findings at seminars, conferences, and scientific venues. Develop innovative and robust machine learning algorithms to personalize interventions
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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