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, multidisciplinary environment, and have access to Princeton's first-class resources. In addition to leading your own research agenda, you will be required to teach or support one of the existing courses in CSML each
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of interest include: Metabolomics, isotope tracing, metabolic flux analysis, quantitative modeling, mass spectrometry imaging, cancer metabolism, small molecule inhibitor discovery, dietary impact on cancer
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to Princeton's first-class resources. In addition to leading your own research agenda, you will be required to teach or support one of the existing courses in CSML each semester of the academic year. The current
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or the local vicinity or demonstrate to the program's satisfaction the ability to be on campus daily and on short notice in order to fulfill responsibilities relating to in-person participation. Princeton offers
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: No Benefits Eligible: Yes Probationary Period: 180 days Essential Services Personnel (see policy for detail): Yes Physical Capacity Exam Required: No Valid Drivers License Required: No Experience Level
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Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning
. The overall goal is to reduce climate model biases at the air-sea/ice interface by improving subgrid physics in the ocean, sea ice and atmosphere components of existing coarse resolution IPCC-class climate
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are particularly encouraged to apply. Candidates will be expected to devote themselves to research and writing and may teach not more than one course per semester. When teaching, successful candidates will hold the
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, and statistical analysis *Proficiency with relevant software, e.g. Python, R, and STATA. *Excellent writing and analytical skills *Evidence of ability to take the initiative in solving practical
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may be provided with short programming exercises to assess their skills. Only suitable candidates will be contacted. This position is subject to Princeton University's background check policy. The work
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on developing new systems models to examine social and biological drivers of infection inequality. The overarching goal of this postdoctoral position is to advance the use of mathematical and statistical models