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on superconducting networks. Appointment Details The successful candidates will initially be part of Professor Claudio Chamon’s or Professor Tyler Ellison’s research group for two years (renewed
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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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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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longitudinal modeling Advanced experience with programming languages and statistical software (e.g., R, Unix) Ability to manage and analyze large-scale, high-dimensional datasets Proven experience working
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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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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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opportunities, including the Indiana Pharmacy Teaching Certificate (IPTeC) Receive biweekly mentoring and professional development coaching Required Qualifications: PhD, DrPH, ScD, or equivalent in