416 computational-physics "https:" "https:" "https:" "https:" "IFM" positions at Indiana University in United States
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Specialist for a National Institutes of Health (NIH) funded fellowship in public and population health informatics. This unique post-doctoral program is located on Indiana University’s Indianapolis campus
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chemistry, organic chemistry, inorganic chemistry, physical chemistry, materials chemistry, and biochemistry. Basic Qualifications A postdoc position is available for the design, synthesis, electron
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, independent, and well-funded research program, and contribute to the educational, service, and/or clinical missions of the medical school. Faculty rank will be commensurate with qualifications and experience
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. Additional details about the Department and the PhD program are available on our web page: https://medicine.iu.edu/biostatistics. The Indianapolis Campus is the focal point of health professions education at
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• Computational skills for multi-omic data analysis (R, Python) is a plus. Department Contact for Questions Dr. Asmaa El-Kenawi Email: asmaa.elkenawi@cancerimmunometabolism.com Website: https
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date: August 1, 2026. Responsibilities will include maintaining an active program of research and scholarly publication at the level of an R1 institution; teaching graduate and undergraduate courses in
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, minimally invasive surgery, bariatric surgery, hernia surgery, and general surgery. In addition, the division is home to a nationally recognized Metabolic and Bariatric Surgery program, known for its
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continuous improvement efforts. Use research, evaluation, and learning analytics to inform program development and instructional strategy. Basic Qualifications Minimum Education Ph.D., Ed.D., or equivalent in
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qualitative, quantitative, or computational methods to examine issues including: Convention and mega-event impact Sport tourism and event-driven development Urban destination strategy and competitiveness
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courses such as BUS-K 211: Introduction to Information Systems for Business, BUS-K 321: Management of Information Technology, and BUS-K 353: Business Analytics & Modeling among others. A productive program