59 coding-"https:"-"Prof"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "P" "Dr" research jobs at Indiana University
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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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optical imaging (Leung Research Group) The Leung Research Group (https://sites.google.com/view/LeungGroup) in the Department of Intelligent Systems Engineering at the Luddy School of Informatics, Computing
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Position Summary Dr. Matthew Aalsma, Vice Chair of Health Services Research and Director of the Adolescent Behavioral Health Research Program in the Department of Pediatrics at Indiana University School
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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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, developing code, and applying principles of effective data visualization to meet institutional reporting needs. The analyst will collaborate with NSSE staff to catalog existing resources such as readings
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. This position focuses on digital humanities and social media analytics under Dr. Gunther Jikeli’s supervision, with particular emphasis on analyzing Instagram activities and rhetoric patterns. Key
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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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Bloomington Position Summary Canine and Child Cognition Postdoctoral Scholar Vacancy The COMPARE Lab , directed by Dr. Erica Cartmill, invites applications for a postdoctoral fellow. The COMPARE Lab studies
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Postdoctoral Researcher Study of Affective Disorders’ Classification and Treatment (SADCAT) Lab Dr. Lorenzo-Lorenzo Luaces Department of Psychological and Brain Sciences at Indiana University Bloomington
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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