21 assistant-professor-computer-science-and-data-"St"-"St" Postdoctoral positions at University of Virginia
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Collaborate with leading researchers within and outside UVA Qualifications: U.S. citizenship required Ph.D. in Data Science, Statistics, Computer Science, Network Science, Physics, Engineering, Sociology
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disease (CAD). You will apply expertise in data science, machine learning, as well as multi-omics integration to predict and validate functional regulatory networks in vascular cell types. This work will
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field, with a strong foundation in data analysis. Expertise in human biology, single-cell genomics, and computational biology to lead research efforts within this project. Experience with single-cell RNA
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data issues. Utilizing machine learning techniques as appropriate for data analysis. Developing computing programs and software to support research initiatives. Applying new methodologies to real-world
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The lab of Professor Alexander Gates, the Connected Data Hub, together with the School of Data Science at the University of Virginia, is looking for a Postdoctoral Research Associate in the area of
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The laboratory of Richard Mailman, Professor of Pharmacology and Neuroscience at the University of Virginia, School of Medicine, is seeking a post-doctoral scholar who is interested in diseases
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@virginia.edu . For more information on benefits, please visit hr.virginia.edu/benefits . PHYSICAL DEMANDS This is primarily a sedentary job involving extensive use of desktop computers. The job does occasionally
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recruitment and buy-in, CARE program implementation and fidelity of implementation monitoring, and data analysis and manuscript generation. This position will complete duties as follows: Recruiting: Reaching
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electrical engineering, biomedical engineering, computer science, medical physics, neuroscience, or a related field. While this is the preferred background, highly qualified candidates from other scientific
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through the implementation of the Coping Power Rural Program , Double Check Online program, Integrative Data Analysis Projects, the mental health screening of students, and related evidence-based programs