20 artificial-intelligence-phd Postdoctoral positions at Pennsylvania State University
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of funding. POSITION SPECIFICS Postdoctoral Research Opportunity in Artificial Intelligence and Automated Vehicles Larson Transportation Institute, College of Engineering, Pennsylvania State University
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will have PhD in Biological, Chemical, Agricultural, Biosystems, or Environmental Engineering; or other related disciplines. The successful candidate must have completed all PhD degree requirements by
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refereed journals. This is a term position funded for one year from date of hire with a good possibility of re-funding. Education and Experience: Applicants must have a PhD in Plant Biology, Molecular
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. Requirements and Qualifications: The Postdoctoral Scholar must have a PhD in transportation engineering, operations research, mathematics, or a related field by the appointment start date. In addition, the
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: PhD in Biology, Neuroscience, Systems Biology, or a related field with a focus on neurodevelopment, transcriptomics, or systems biology. Strong background in mouse models and neurodevelopmental
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exploring biophysical principles that regulate genomic processes. Applicants should have a PhD in molecular biophysics, biochemistry or a related discipline. The ability to work effectively in a team and
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will have a PhD in nutrition, public health, human development and family studies, psychology, or a related field. We are especially interested in candidates with strong quantitative and analytical
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, Biosystems, or Environmental Engineering and must have completed all PhD degree requirements by the appointment date. Experience in process modeling is required, and expertise in techno-economic analysis and
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methyl shuffling leaves a discernible isotopic imprint, regardless of the source. Qualifications and Requirements: A PhD in stable isotope geochemistry, organic geochemistry, or microbial biogeochemistry
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to the researcher’s career goals. Applicants must have a PhD in rural sociology, sociology, geography, or a related field, with experience in mixed-methods social science research in rural settings, including