433 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" positions at Indiana University
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
cross-disciplinary pathways in areas such as artificial intelligence, biosciences, sustainability, health equity, and sports technology. To learn more about campus research initiatives: https
-
of athletics within Black communities and across the African diaspora.. Appointment and Responsibilities Each BHIM fellow will: Teach two courses per academic year in AAADS; Contribute actively to one of BHIM’s
-
Airports Council International for many years. For additional information on life in Indy: https://faculty.medicine.iu.edu/relocation. IU School of Medicine is committed to being a welcoming campus community
-
for Indiana and beyond. Learn more about the new department at https://luddy.indianapolis.iu.edu/departments/cs/index.html . Review of applications will begin immediately, therefore qualified applicants
-
(https://f3plusr.com/ ) and the Vera Bradley Foundation for Breast Cancer . F3+R is a local philanthropic organization dedicated to advancing precision medicine for patients with advanced cancers. Vera
-
bike shares, scooter rentals, and electric vehicle services. To Apply: Applications should be submitted online at: https://indiana.peopleadmin.com/postings/13052 . A cover letter, curriculum vitae and a
-
deliver didactic and experiential learning opportunities in clinical informatics. - Supervise fellows’ scholarly activities and clinical rotations. - Provide mentorship and career guidance to fellows
-
International for many years. For additional information on life in Indy: https://faculty.medicine.iu.edu/relocation. IU School of Medicine is committed to being a welcoming campus community and we seek
-
research agenda using advanced quantitative methods—such as machine learning, computational modeling, big-data analytics, and wearable technologies—to study tourism, hospitality, and/or human performance
-
are expected to teach at the undergraduate and graduate levels, and collaborate across disciplines to address real-world data challenges. Example areas include, but are not limited to: Machine learning and deep