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at Princeton University aims to recruit a postdoctoral fellow or more senior researcher to work on projects related to computational analysis of chemical and biochemical datasets. A major focus will be
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on rank. Positions at the postdoctoral rank are for one year with the possibility of renewal pending satisfactory performance and continued funding; those hired at more senior ranks may have multi-year
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/position/35201 and submit a cover letter, CV, and contact information for three references. This position is subject to the University's background check policy. The work location for this position is in
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of appointment is based on rank. Positions at the postdoctoral rank are for one year with the possibility of renewal pending satisfactory performance and continued funding; those hired at more senior ranks may
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are required to have a Ph.D. or equivalent in biology, ecology or related fields. Excellent writing ability in English is essential as well as creativity, energy, and the desire to work in an interactive and
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to work on an NIH-funded multi-lab collaborative project studying the neurocomputational basis of reinforcement learning in rodents. The project, in collaboration with the Berke and Frank labs at UCSF
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bias and inequality. The Postdoctoral Research Associate will work with Dr. Stacey Sinclair on an on-going research project examining how the framing of diversity efforts impacts support for and
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but not required. Excellent writing ability in English is essential as well as creativity, energy, and the desire to work in an interactive and inter-disciplinary environment. The Term of appointment is
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Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning
learning. Our previous work has demonstrated that neural networks can skillfully predict sea ice data assimilation increments, which represent structural model errors (https://doi.org/10.1029/2023MS003757
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opportunity to work closely with our engineers and other research staff. Projects may include software package creation and maintenance, data engineering, development and/or implementation of advanced