58 computer-programmer-"https:" "https:" "UNIS" "https:" "https:" "https:" "https:" "Dr" Fellowship positions at Indiana University
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program of research. Training will be provided in project design, grant writing, and research ethics. Salary and benefits are commensurate with NIH rates based on training and years of experience. Indiana
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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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under the supervision of Dr. Sebastian Dawid. The appointment may begin as early as August 1st, 2026 (with flexible start dates), for an initial term of two years, with the possibility of extension to a
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biostatistical, health data science, and informatics research and education. We have an extensive portfolio of research program in related areas. Our NIH funding as principal investigators and co-investigators has
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Ware, MD, Phd (https://medicine.iu.edu/faculty/22816/ware-stephanie) is the Chair of the Department of Medical and Molecular Genetics as well as the program leader of the Cardiovascular Genetics Program
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contact information for three references to http://indiana.peopleadmin.com/postings/32977 . Applications will be reviewed upon receipt. For Best Consideration Date 05/04/2026 Expected Start Date 08/01/2026
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Engineering Location Bloomington Position Summary Indiana University, Bloomington Luddy School of Informatics, Computing, and Engineering Department of Intelligent Systems Engineering Postdoctoral Fellow in
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implementation science, with an emphasis on improving care for older adults and individuals with dementia. The fellow will join a dynamic, interdisciplinary team under the primary mentorship of Dr. Kathleen Unroe
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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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research position under the supervision of Dr. Chris Smith Home | Chris Smith . The lab— in the Evolution, Ecology, and Behavior section—investigates machine learning approaches for spatial population