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Field
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journal articles; development of project leadership skills; NIH and DoD grant submissions; quantitative, qualitative, and mixed methods training; community-based participatory research, and formalized
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(PSP) Integrated Science Investigation of the Sun (ISIS) instrument suite, and the Interstellar Mapping and Acceleration Probe (IMAP) mission in development for launch in 2025 to explore the details
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contribute to the development of next-generation technologies and tools that could facilitate the integration of renewable generation and other distributed energy resources into the power grid. The successful
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projects · Explore and develop appropriate research collaborations both within the Department, the Sylvester Comprehensive Cancer Center and outside of the University of Miami Miller School of Medicine
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, 2025 to July 31, 2026. There is some flexibility with the timing. Subsidized housing may be available https://my.cgu.edu/housing/ . The project consists of developing a new paradigm for machine learning
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Professor position in the area of metal Additive Manufacturing (AM). The successful candidate will develop a research program in metal AM with a particular focus on powder-based techniques such as laser
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and skills developed through 5-7 years of work experience in a related job discipline. Certifications: --- Preferred Qualifications Education: Ph.D. earned or expected by September 2025 in CS or related
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Research Assistant Professor, Research Associate Professor, Assistant Professor, Associate Professor
Professor, Assistant Professor, or Associate Professor. This position is research intensive and is intended for an individual who will develop and maintain a federally funded, independent research program in
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number of faculty to lead research in Health Professions Education across a range of research areas including but not limited to: professionalism and professional identity formation; faculty development
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collaborative efforts among researchers at the University of Utah and UC San Diego in developing and applying methods in predictive and causal modeling of complex biomedical and social processes and systems