20 senior-lecturer-distributed-computing Postdoctoral positions at University of Virginia in United States
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or scholarship at the University. Employment as a Postdoctoral Research Associate is viewed as training and is preparatory for a full-time academic or research career, is supervised by a senior scholar, and allows
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supervised by a senior scholar, and allows the appointee to publish the results of his/her research or scholarship during the training period. Full-time research or scholarship at the University. Preparatory
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availability of funding. This role is designed as a training opportunity in preparation for a full-time academic or research career. Postdoctoral Research Associates work under the supervision of a senior
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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
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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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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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Communicate results through peer-reviewed publications, internal and external presentations, conferences, and websites. Minimum Requirements: Doctoral degree in a quantitative discipline such as computer
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: Implement computational approaches to analyze and integrate genomic data, inclduing whole genome sequencing, single-cell RNA-seq, and single-cell cell surface protein-seq (CITE-seq). Utilize an array
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primarily a sedentary job involving extensive use of desktop computers. The job occasionally requires local and regional travel to schools for recruitment and coaching, and walking some distance to attend
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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