56 computer-"https:"-"APOS-UFFICIO-CONCORSI-DOCENTI" "https:" "https:" "https:" "https:" "Dr" positions at Indiana University
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to be a part of a legacy of nursing excellence and leadership. Our in-person work arrangements facilitate access to an outstanding array of institutional resources, including a robust onboarding program
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program. Candidates must be eligible for licensure in Indiana and IR/DR board certified or eligible. Although not required, applicants interested in research are encouraged to apply. Department Contact
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of institutional resources, including a robust onboarding program and a high degree of campus engagement and networking. The Associate Dean is responsible for the operational success of the IU School of Nursing
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resources, including a robust onboarding program and a high degree of engagement and networking. The Associate Dean is responsible for the operational success of the IU School of Nursing, Bloomington campus
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e.g. https://academicaffairs.indianapolis.iu.edu/Faculty-Affairs/PromotionTenure/guidelines-and-standards .Contact list with six references For additional information, please contact Dr. Janet S
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Postdoctoral Associate Mnemology Lab / Dr. Simon Davis Department of Psychology & Brain Sciences at Indiana University Bloomington Overview: The Mnemology Lab (PI: Simon Davis) at IUB uses behavioral and
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: or department chair Dr. Mark Urtel at murtel1@iu.edu. Additional information on the School of Health & Human Sciences, as well as the Department of Kinesiology is available at: https://shhs.indianapolis.iu.edu
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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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sciences. More information about the program can be found at https://science.indianapolis.iu.edu/forensic/ . Applicants should hold at minimum a M.S. in Forensic Science, Cybersecurity, Computer
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position under the supervision of Dr. Chris Smith Home | Chris Smith . Our new lab in Evolution, Ecology, and Behavior investigates machine learning approaches for population genetics. Our research