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or methodological skills, applying innovative techniques in the examination of substantive social science research questions. In addition to innovation, candidates will be evaluated on their potential to create
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. A major focus will be on the identification of small molecules from mass spectrometry-based metabolomics data, in part based on generative AI models of chemical structures. The position is available
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on the identification of small molecules from mass spectrometry-based metabolomics data, in part based on generative AI models of chemical structures. The position is available starting July 2025, and will remain open
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. The successful candidate(s) may be invited to teach one course for Linguistics per semester, pending sufficient enrollments and with the approval of the Office of the Dean of the Faculty, and may engage in a small
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developing custom tools and end effectors for robotic assembly Good knowledge of the CAD software Rhinoceros 3D, its plugin Grasshopper 3D, and its API RhinoCommon Real-world architecture and/or construction
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access to state-of-the-art numerical models and high-performance computing systems at Princeton and in NOAA, working alongside GFDL model developers and software engineers to advance quality assurance and
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to undertake at Princeton. The position(s) will be supervised by two faculty members, depending on applicants' research focus. The successful candidate(s) may be invited to teach one course for Linguistics per
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dynamics, and materials chemistry. Strong Python programming skills are required, and prior experience with developing open-source software or databases will be considered a plus.Candidates should apply at
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access to state-of-the-art numerical models and high-performance computing systems at Princeton and in NOAA, working alongside GFDL model developers and software engineers to advance quality assurance and
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candidates will be required to be in residence in Princeton 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