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psychology. Initial appointment is for one year with the possibility of renewal based on satisfactory performance and continued funding. Essential Qualifications: PhD in a relevant field. Interested
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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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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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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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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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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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and interpret output files. *Collaborate on writing of scientific papers for peer-review. *Present research at local, national, and international conferences and meetings. A PhD is required in a related
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of the global economy by 2050 are encouraged to apply. Applicants will have a PhD or equivalent degree and experience in energy-climate modelling and analysis or a related field. The individuals will join Rapid
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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