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(or expect to soon receive) a PhD in materials science, physics, chemistry, electrical engineering, mechanical engineering, or related fields. Specific inquiries about the position may be sent
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: Applicants must hold a PhD in demography, sociology, epidemiology, or a related field. The work location for this position is in-person on campus at Princeton University. The position will also involve
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along with experience in applying Artificial Intelligence (AI)/Machine Learning tools, OR a PhD in AI/Machine Learning with experience in plasma physics or other strongly coupled physical systems
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degree. Eligible candidate must have less than three years of post- PhD research experience prior to anticipated start date. Academic excellence, potential to bring new ideas and approaches to Princeton
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to conduct numerical studies for non-local flow-driven magnetized plasma instabilities and their associated nonlinear transport in astrophysical and laboratory plasmas. The applicant is required to have a PhD
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of this appointment is one year, with the possibility of renewal based upon satisfactory performance and funding. Qualified candidates should have: *PhD in neuroscience, genetics/genomics, molecular/cellular biology
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time and requires a PhD in a relevant social science field and does not support work towards the completion of a degree. Salary and full employee benefits are offered in accordance with University
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their Behavioral Science for Policy Lab (BSPL). Individuals with a PhD and research interests in psychology, sociology, behavioral economics, management, or another social or behavioral science relevant to the study
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the study of public opinion. The research position is full time and requires a PhD in a relevant social science field and does not support work towards the completion of a degree. Salary and full
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. Requirements: -PhD in Classical Archaeology or a related field with demonstrated familiarity with Greek and Roman material culture. -Attention to detail, familiarity with editing texts, ability to communicate