754 phd-computational-"IMPRS-ML"-"IMPRS-ML"-"IMPRS-ML" positions at The University of Chicago in United States
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, with a strong preference for a PhD. Experience: 2-5 years of experience with research project management, preferably in the field of criminal justice policy, decarceration, prosecutor-related work
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applications from the entire subfield of American politics. This position will begin on or after July 1, 2026. Qualifications Candidates must have completed all requirements for the PhD degree prior to the start
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data for input into workflows using R, Matlab, Phython. Assist in data collection. Computational analysis using MATLAB, Python, or other computer languages. Written reports and manuscript preparation
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applications from the entire subfield of American politics. This position will begin on or after July 1, 2026. Qualifications Candidates must have completed all requirements for the PhD degree prior to the start
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packages, computer coding, and statistics is highly desired. Past research assistants have been accepted to strong PhD programs in clinical and experimental psychology, epidemiology, and medical school
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collaborating with faculty, faculty support staff, PhD students, and university visitors. High levels of initiative, creativity, and enthusiasm are keys to success. Responsibilities Furthers the faculty mission
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budgetary leadership, and informatics support across clinical trials and research activities. The role collaborates with associate directors and executive committee of the UCCCC and stakeholders in Clinical
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Qualification Education: PhD in climate science, engineering, or a related field. Experience: Knowledge and skills developed through 15+ years of work experience in a related job discipline. Technical Skills
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of highly accomplished faculty, postdocs, graduate students, and undergraduates, all of whom push the boundaries of their respective fields. The Department supports a PhD program in Geophysical Sciences
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of the program, given the expected intensity of program development during these years. Recommend for hire, supervise, and evaluate part-time Lecturers and full-time Instructional Professors who teach in the MSCEP