4 phd-position-in-data-modeling Postdoctoral positions at University of Virginia in United States
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for analysis utilizing quantitative data collected from prior trials of prevention programs and frameworks like PBIS, Double Check, Coping Power, MTSS-B, and the R-CITY model. Lead and co-author papers
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learning, small data learning · Active learning, Bayesian deep learning, uncertainty quantification · Graph neural networks This position involves active participation in a well-funded
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of national research infrastructures. The ideal candidates will have a PhD in a discipline closely related to computational social science by date of appointment (e.g. network science, computer science, data
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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