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projects ranging from score-based generative models, energy-based models, Bayesian analysis of graph and network structured data, highly multivariate stochastic processes; with data applications ranging from
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projects ranging from score-based generative models, energy-based models, Bayesian analysis of graph and network structured data, highly multivariate stochastic processes; with data applications ranging from
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techniques including deep neural networks and large language models (such as GPTs), with state-of-the-art functional genomics approaches, including crop genomics, genome editing, and single cell multiomics
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clinicians dedicated to translational research across the lifespan. The successful candidate will have ample opportunities to capitalize on extraordinary networks of collaborations and resources within and
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. Collaborate with an international network of experts in fields ranging from dentistry and genetics to anthropology and public health. Learn transferrable skills to become a successful PI Ideal Candidates
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in social sciences, STEM disciplines, and collaborative research networks. This academic foundation fosters rich interdisciplinary partnerships and drives innovative research. Meanwhile