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quantitative analytic methods. Core responsibilities include: Conducting data analysis for ongoing projects. Developing independent and collaborative publications by accessing available longitudinal data
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our team, as well as a willingness to learn new methods and techniques as the projects evolve. This is a one-year full-time appointment with the potential for extension contingent upon successful
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the agrivoltaics systems. This Postdoctoral Associate will be part of the Cornell University team responsible for conducting mixed-methods social science and economic research at these proposed agrivoltaics solar
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the agrivoltaics systems. This Postdoctoral Associate will be part of the Cornell University team responsible for conducting mixed-methods social science and economic research at these proposed agrivoltaics solar
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University to pursue further training in research, teaching, and communication skills. Previous experience with standard laboratory methods is not necessary. Candidates must possess excellent communication and
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research, teaching, and leadership skills. Candidates must possess excellent communication and interpersonal skills to work effectively in our team, as well as a willingness to learn new methods and
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skills. Candidates must possess excellent communication and interpersonal skills to work effectively in our team, as well as a willingness to learn new methods and techniques as the projects evolve
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] Subject Areas: Physics / Hard Condensed Matter Theory , Machine Learning , Material Science , Physics , Quantum Information Science , Soft Condensed Matter Theory , theoretical condensed matter physics
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communication skills. Previous experience with standard laboratory methods is not necessary. Candidates must possess excellent communication and interpersonal skills (both in English and ideally in Spanish
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proportional hazard models, repeated measures analyses, and hierarchical analytic methods required.). Excellent quantitative, technical, analytic, and applied research skills are required. Excellent written and