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of singularities, optimal control, and applications to macroscopic models of traffic flow. Teaching may be required. Education and Experience: Applicants must have recently completed a Ph.D. and have exceptional
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models to analyze EHR data. The postdoctoral fellow, under the mentorship of Dr. Dajiang Liu (https://dajiangliu.blog ), is expected to work on at least one of these objectives. Requirements: A Ph.D. in
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SPECIFICS The Postdoctoral Scholar will be part of a team that is advancing the integrated movement modeling framework and is making them accessible to ecologists. The Postdoctoral Scholar will help develop
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SPECIFICS The Wiersielis Lab in the Department of Biobehavioral Health at The Pennsylvania State University (http://bbh.hhd.psu.edu/) is seeking a highly motivated Postdoctoral Associate to join our research
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application describing research interests and professional goals, as well as a CV and contact information for three references. Applications are accepted online at https://hr.psu.edu/careers . BACKGROUND CHECKS
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SPECIFICS Postdoctoral Scholar Opportunity Grain Crop Production Laboratory - Department of Plant Science - Penn State University https://plantscience.psu.edu/research/labs/grain-production-lab Position
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printing. Hands-on lab benchwork on cell biology, immunology, and animal tumor models is a plus. Generate, analyze, and evaluate data. Present results in an organized manner. Learn new techniques and
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science tools, such as machine learning methods, causal inference, particularly in economic and social science applications. Prior experience working with Large Language Models is a plus. Experience working
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. The overall goal is to: (1) develop and apply statistical genomic methods to analyze multi-omics datasets for understanding complex disease etiology and (2) develop and apply novel statistical models to analyze
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can obtain information about our prior research at: https://research.med.psu.edu/smoking/. The position will remain open until filled. For more information contact tcors@psu.edu . BACKGROUND CHECKS