54 parallel-computing-numerical-methods research jobs at Cornell University in United States
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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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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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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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, there are no additional restrictions on what or how the course should be taught. Fellows are encouraged to experiment with both the content and the method of their seminar particularly as it relates
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the geographical region of their specialty. We imagine that the successful candidate’s research would be of considerable interest to colleagues in Anthropology, History, or Sociology (depending on their methods) as