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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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courses. Program faculty and senior researchers will offer mentoring to support professional development. Former postdoctoral researchers with SGS have pursued careers in academia, nongovernmental and
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of existing and novel materials, extensive ex situ (and some in situ) characterization of synthesized materials by materials evaluation tools, and guiding the development and testing of new materials. The work
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the regular SGS seminar series and other Program activities, and assist with relevant undergraduate or graduate courses. Program faculty and senior researchers will offer mentoring to support professional
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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
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Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning
and atmosphere components of existing coarse resolution IPCC-class climate models, and their coupling, using machine learning. The postdoc will be expected to collaborate with other postdocs
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human-robot collaboration What We Offer We offer a competitive package (salary, health insurance, and benefits). You will be joining a world-class academic environment and an inclusive interdisciplinary
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subgrid physics in the ocean, sea ice and atmosphere components of existing coarse ( to 1) resolution IPCC-class climate models, and their coupling, using machine learning. The postdoc will be expected
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opportunities are subject to sufficient course enrollment and the approval of the Dean of the Faculty. Requirements: *Both CITP and Princeton University place high value on in-person collaborations and