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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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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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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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opportunities, including the Indiana Pharmacy Teaching Certificate (IPTeC) Receive biweekly mentoring and professional development coaching Required Qualifications: PhD, DrPH, ScD, or equivalent in
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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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bisulfite sequencing as well as elastic net regression or other statistical techniques suitable for use with high-dimensionality data. The initial appointment is for 12 months with the possibility
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period. Required Qualifications A PhD in genetics, evolution, ecology, biology, or allied areas that will have been awarded prior to beginning this position. Highly motivated with a strong work ethic and
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: (1) Conducting high fidelity CFD simulations of combustion, heat transfer, chemical reactions, and phase change phenomena in industrial processes using commercial software. (2) Optimizing existing in
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. We are seeking an energetic and independent researcher who has a strong background in quantitative analysis of social surveys. To qualify for the position, a candidate must have completed a PhD by the