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filled. This is a full-time in-person position at the School of Data Science at the University of Virginia. The initial appointment is for one year; however, the appointment may be renewed
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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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to PhD students and other early-career-scholars on the research team. Support the team with data cleaning, project management, and grant submission tasks as needed. Other tasks include various writing and
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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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university policy. This position is restricted and contingent upon the continuation of funding. This position will remain open until filled. For further information about the position, please contact Jon
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communication skills and the ability to work both independently and collaboratively within a team. Minimum Requirements: Qualified candidates must have a PhD by the appointment start date. This position will
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information about the position, please contact Dr. Ukpong Eyo, Assistant Professor of Neuroscience, at ube9q@virginia.edu. This position is located in Charlottesville, VA. The position will remain open until
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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. The position is a 12-month appointment with the possibility
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seeking hands-on experience in biostatistical research within a dynamic academic environment and aiming to make impactful contributions to the field. For additional information about the position, please
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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