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Field
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learning (AI/ML) being a major focus. Many of the laboratory's interests center around the identification of small molecules using mass spectrometry data, and the use of language models to predict
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learning (AI/ML) being a major focus. Many of the laboratory's interests center around the identification of small molecules using mass spectrometry data, and the use of language models to predict
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Modeling Committees and contribute to projects such as COMET and RuFAS. (3) Assist in predicting the adequacy of diets to meet nutrient requirements using species models. (4) Engage with stakeholders
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scholar to: 1) Become proficient in CFD modeling of detonative combustion cycles. 2) Exercise CFD tools and collaborate on the development of new tools to accurately predict important combustion phenomenon
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shoots, and optimizes methods. Analyzes, interprets, and presents complex experimental results. Performs statistical analyses. Understands models of biological processes, derives appropriate predictions
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precision medicine and predict outcomes. The Post Doc will work collaboratively with other research scientists with the same interest and background. Among the key duties of this position are the following
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predictive models for Alzheimerâ™s, Parkinson, and Dystonia as well as to identify novel proteins and pathways implicated on disease pathogenesis. We are currently analyzing brain, CSF and blood, multi-omic
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, to define novel biomarkers, and to identify novel therapeutical targets. We have pioneered in the integration of genetics with omic data to identify proteomic signatures and develop novel predictive models
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, computational, and machine learning/AI methods, with a particular emphasis on deep learning approaches improve our understanding and prediction of infectious disease dynamics. Projects are also strongly grounded
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of neuroimaging data to predict subjective experiences and individual differences, as well as cognitive modeling of decision-making in both lab and realworld settings. Successful candidates will be supported in