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technical or methodological skills, applying innovative techniques in the examination of substantive social science research questions. In addition to innovation, candidates will be evaluated
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fall at the technical forefront of quantitative social science. Candidates should offer state-of-the-art technical or methodological skills, applying innovative techniques in the examination
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of small molecules within the cell. Determining the spatial distribution of small molecules within cells is crucial for understanding fundamental biological mechanisms, but it is currently not possible to do
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Prof. Laura Kalin. 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
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collaborating experimental research groups. Previous experience in computational modeling of atmospheric aerosols and parallel computing/software development is strongly desired. The term of appointment is based
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, high-throughput simulations, molecular dynamics, and materials chemistry. Strong Python programming skills are required, and prior experience with developing open-source software or databases will be
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at Princeton. The position(s) will be supervised by Prof. Bronwyn Bjorkman and/or Prof. Laura Kalin. The successful candidate(s) may be invited to teach one course for Linguistics per semester, pending
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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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volumes in frozen cell sections, providing unprecedented maps of the distributions of small molecules within the cell. Determining the spatial distribution of small molecules within cells is crucial
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skills, and be prepared to work in a dynamic environment. Candidates should apply online and include a cover letter, CV (including a list of publications), research statement (a short description of past