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required) Kinetic modeling proficiency (Chemkin, Cantera), analytical proficiency (sensitivity, rate of production, etc.) Spectroscopic modeling experience preferred (HITRAN/HITEMP) Familiarity with
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Research Associates. DDSS supports technical and methodological innovation in quantitative and computational social science, addressing a diverse array of new data and analytic challenges, facilitating
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nonlinear transport in astrophysical disks". Applicants must apply online and submit a cv, cover letter and contact information for three references at: https://puwebp.princeton.edu/AcadHire/position/34621
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to empirical modeling of the economic and security effects of climate change. In particular, the Associate will help gather data and develop and run macroeconomic models that incorporate a variety of economic
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team members. Surface science experiments will utilize a range of surface analytical techniques, such as HRXPS, UPS, LEIS, AFM, and STM, with an emphasis on vibrational spectroscopy using IR spectroscopy
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particular, the Associate will help gather data and develop and run macroeconomic models that incorporate a variety of economic and climatic "shocks." Qualifications: This position is ideal for recent
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quantitative and computational social science, addressing a diverse array of new data and analytic challenges, facilitating impactful multidisciplinary collaboration, scholarly advancement, and the creation
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network analysis libraries and relevant modeling tools, are necessary. Knowledge of spatial data analysis, graph theory, and infrastructure systems will be viewed favorably. Exceptional analytical, problem
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a range of surface analytical techniques, such as HRXPS, UPS, LEIS, AFM, and STM, with an emphasis on vibrational spectroscopy using IR spectroscopy or HREELS to identify and follow reactions
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on projects related to machine-learning for mass spectrometry-based metabolomics data. Positions are available starting July 2024, and will remain open until excellent fits are found. Successful candidates will