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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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. of Forestry & Natural Resources at Purdue University. The position will be jointly supervised by Drs. Matt Ginzel (Purdue) and Vikram Chhatre (USDA Forest Service) and will be based at the Hardwood Tree
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medication use Applying frameworks such as the Andersen Behavioral Model (ABM) and 4Ms of Geriatrics Conducting advanced data analysis and predictive modeling Engaging patients, caregivers, and health system
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Lashkari's research group for 2+1 years (renewed annually) with the third year extension conditioned on availability of funding. Qualifications Applicants must hold a PhD in physics or a related field by the
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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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. Qualifications Applicants must hold a PhD in physics or a related field by the time of appointment. Application Instructions To apply, please complete the application form on AcademicJobsOnline and submit
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strong overlap in the fields of topological quantum field theory, quantum condensed matter theory, and quantum computing and algorithms. Qualifications Applicants must hold a PhD in physics or a related
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research mission, collaborating with an international and multidisciplinary team, all while receiving outstanding team-based mentorship. This position is based on the Indianapolis location. Remote options
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(based in Indianapolis) Are you looking to be part of something big? Radical innovations begin with small, impactful steps. Take your next step with the Dunn Lab, the distinguished team of Dr. Erin C. Dunn