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Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning
). When applied online to global ice-ocean simulations, this neural network substantially improves sea ice simulation performance (https://doi.org/10.1029/2023GL106776 ). The successful applicant
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are expected to demonstrate a strong record of research accomplishment and creativity. The application deadline is December 1, 2024, 11:59 pm, EST.To apply online, please visithttps://www.princeton.edu
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Values. The teaching will likely involve running a senior thesis seminar rather than teaching a traditional course, subject to approval of Princeton's Office of the Dean of the Faculty. The postdoc will
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Values. The teaching will likely involve running a senior thesis seminar rather than teaching a traditional course, subject to approval of Princeton's Office of the Dean of the Faculty. The postdoc will
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as Computer Science, Robotics, Civil Engineering, Architecture, etc.Excellent track record of research and publications related to the job descriptionStrong scientific writing and communication
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one year, with the possibility of renewal pending satisfactory performance and continued funding. Interested applicants must apply online at https://puwebp.princeton.edu/AcadHire/position/39021 and
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around the identification of small molecules using mass spectrometry data, and the use of language models to predict the existence of undiscovered small molecules that are likely to be observed by mass
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. Applicants must apply online. Applications are due by September 15, 2025 (11:59 p.m. EST). The following application items should be uploaded by the applicant: Cover letter Curriculum vitae Transcripts
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The Princeton University WET LAB (https://ren.princeton.edu/) is seeking a postdoctoral research associate(s) or more senior researcher(s) with expertise and interest in Large Language Models (LLM
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postdoctoral and PhD researchers on the team*Interest in developing and applying Large Language Models (LLM) and spatial Machine Learning (ML) modelsSalary and full employee benefits are offered in accordance