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innovative strategies to improve human health. HT is composed of five Centers: Health Data Science, Genomics, Computational Biology, Neurogenomics and Structural Biology. The Centers work together to enable
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innovative strategies to improve human health. HT is composed of five Centers: Health Data Science, Genomics, Computational Biology, Neurogenomics and Structural Biology. The Centers work together to enable
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developing and delivering research proposals • Potentially co-develop or co-teach courses in IE Required Qualifications • Ph.D. or equivalent degree in Industrial Engineering, Statistics, Computer
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Informatics (BIOS), faculty, postdoctoral fellows, and students in the department apply analytic methods, statistical reasoning and information management techniques to the design and analysis of studies in
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Computer Science Department at Princeton University. We seek candidates with computational biology, bioinformatics, computer science, machine learning, statistics, data science, applied math and/or other
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interpretation. A Ph.D. in biostatistics, statistics, bioinformatics, computational biology, or computer science is required. Strong computational background with programming and visualization skills in R and
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(or have recently submitted) in a relevant subject (climate, meteorology, physical geography, earth and environmental sciences, physics and astronomy, applied mathematics, statistics, computer
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supervision of the Principal Investigators/Director of the Program for Sustainable Pavement Engineering and Research (PROSPER) at InTrans and collaborate closely with federal and state departments
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skills Conceptualization and design Organization Planning Problem identification and resolution Project management Research Statistical analysis Skills: Machine/Equipment: Calculator Computer network
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Description Position: Postdoctoral Fellow (no. of vacancies: 1) Start date: Flexible (two-year appointment) Requirements 1) Hold or expect to hold a Ph.D. degree in Statistics, Computer Science, Mathematics