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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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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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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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. 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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Skills: Advanced knowledge of high-dimensional data analysis and epidemiological research Demonstrated problem-solving abilities and innovative thinking Excellent written and verbal communication for both
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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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using R for statistical analysis and in statistical modeling. Sound working knowledge of unix shell, high performance compute clusters and git. Willingness to learn and use a scripting language (e.g
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time of employment, and the degree may be in sociology, psychology, political science, or related areas. Demonstrated knowledge of statistics and research experience of social surveys of an East Asian
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knowledge of social surveys and GIS are considered advantageous. To apply, please submit your application at https://careers.purdue.edu and include the following materials: (1) letter of application that
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knowledge of social surveys and GIS are considered advantageous. To apply, please submit your application at https://careers.purdue.edu and include the following materials: (1) letter of application that