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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 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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biomarkers. The successful candidate will contribute to day-to-day laboratory operations, provide scientific and technical assistance on experimental design, and perform studies needed to advance the missions
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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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will have a PhD with experience in relevant areas of biology, first-author publication(s), and the ability to work well in a highly interactive, creative, and collaborative environment. Postdoctoral
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from the NIDDK and focuses on investigating the role that T1D risk variants play in islet autoimmunity through advanced single-cell techniques. The lab seeks an independent, highly motivated PhD-level
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, other duties may be assigned. Minimum Requirements Qualified candidates must have a PhD in Immunology, Microbiology, Neuroscience, or a related field by the appointment start date. For additional
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focus on school mental health, equity, early adolescence, or well-being. Content expertise in some of the following areas: rural and/or urban K-12 school settings, school climate, multi-tiered systems
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contact Hong Zhu, Professor, at hzhu2m@virginia.edu. Minimum Requirements: Doctoral degree Preferred Qualifications: PhD in biostatistics, statistics, or a related quantitative field by the appointment
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injection, and cardiac/muscle lead surgery. Work autonomously to plan, conduct, and troubleshoot experiments recording various biosignals such as EEG, EKG, blood pressure, plethysmography, and breathing