15 data-assimilation Postdoctoral positions at University of Virginia in United States
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The University of Virginia’s School of Data Science invites applications for a Postdoctoral Research Associate to join the newly established National Security Data and Policy Institute
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both qualitative and quantitative data and coordinating findings across data sources. The postdoctoral research associate will have opportunities to publish emerging findings from these research studies
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to preventive interventions, decision support to implement mental health interventions, longitudinal data analysis, machine learning/NLP/AI, integrative data analysis, and related grant writing. This candidate
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asked to support research projects on school mental health, including projects that involve the development of statewide mental and behavioral health data dashboards and decision-making procedures as
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The Visual Intelligence Laboratory ('Baek Lab') in collaboration with the Connected Data Hub (‘Gates Lab’) at the University of Virginia School of Data Science is seeking a motivated and self-driven
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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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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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opportunities. UVA Office of Graduate and Postdoctoral Affairs (OGPA) is committed to support the postdoctoral workforce to ensure their professional development. For more information visit https
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background and experience, in accordance with NIH guidelines. This is an Exempt level, benefited position. For more information on the benefits at UVA, visit hr.virginia.edu/benefits This position will remain
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research using complex observational healthcare data, with a focus on cancer studies. The successful candidate will be expected to: Modeling multilevel survival data while addressing confounding and missing