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research programme at Oxford. Candidates should hold a PhD in biomedical engineering, computer science, medical physics, statistics, or a related field. A strong track record of first-/senior or co-author
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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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). Applicants with a PhD in a quantitative field (computational biology, bioinformatics, systems biology, genetics/genomics, statistics, mathematics, computer science, or related fields) are encouraged to apply
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with statistical modeling (ideally Bayesian statistics) • Proficiency in Fortran, R, Python, Matlab, or ideally other common languages (e.g., C/C++) Strong computational skills Strong oral and written
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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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(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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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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, such as Psychology, Cognitive Science, Neuroscience, Biomedical Engineering, Computer Science, Psychiatry, Radiology, and Neurology, or General Medicine. Preferred Qualifications: Prior research experience
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Associate I position seeks scientists ready to pursue an ambitious program of research in astronomy or astrophysics (0.5 FTE) and in supporting service operations (0.25 FTE) of Steward Observatory
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studies. Develop and apply advanced statistical methods and machine learning techniques using tools such as R and Python. Integrate and run process-based models (e.g., crop models, hydrologic models