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Field
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, combines advanced system neuroscience and computational modeling techniques to study planning in rodents engaged in dynamic spatial foraging tasks. The successful candidate will develop computational models
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of large strain (antigenic) diversity, network descriptions of strain structure, and implications for resilience to perturbations. We are also more generally interested in extensions of this work to other
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, Software Defined Radio (SDR), Software Defined Network (SDN), Network Function Virtualization and Edge-computing systems design. Researchers will carry out research in network systems, with focus on large
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, economics, computer science, operations research, or related data science fields. The position provides opportunities to participate in rigorous, quantitative research on human trafficking, including supply
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of brain network representations, with a specific focus on the development and emergence of psychopathology. The successful candidate will contribute to the development and application of computational
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-reviewed publications. Prior experience with biological network analysis and practical application of a variety of machine learning and computer vision techniques is preferred. The successful candidate will
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research focuses on a geometric understanding of training in deep neural networks. The position offers excellent training opportunities at the intersection of machine learning and applied mathematics
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Postdoctoral Fellow position through our prestigious NIH T32 Postdoctoral Training Program. This program is designed to support outstanding candidates pursuing research in areas such as: Lung Vascular
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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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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