89 machine-learning "https:" "https:" "https:" "https:" "https:" "Dana Farber Cancer Institute" research jobs at Indiana University
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Research Methodology Location Bloomington Position Summary Location: Learning and Developmental Evaluation Clinic (LDEC) and the School Psychology Program , School of Education , Indiana University (IU
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(preferred) with the possibility of a remote arrangement To apply, please submit a cover letter, CV, and contact information for three references to https://indiana.peopleadmin.com/postings/30636 . Basic
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at https://biology.indiana.edu/about/faculty/kehoe-david.html . Initiative, good communication skills, and ability to work both independently and as part of a dynamic research team are expected. Salary is
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Qualifications Experience with machine learning and AI models. Ability to communicate clearly with colleagues, Data presentations Scientific publication experience Special Instructions Priority Application Review
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(kidney biopsy, serum, urine) for comprehensive biomarker profiling. Utilization of machine learning and image processing for advanced tissue analysis. The Herman B Wells Center for Pediatric Research
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candidates whose research, teaching, and community engagement efforts contribute to robust learning and working environments for all students, staff, and faculty. We invite individuals who will join us in our
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research, teaching, and community engagement efforts contribute to robust learning and working environments for all students, staff, and faculty. We invite individuals who will join us in our mission
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committed to being a welcoming campus community and we seek candidates whose research, teaching, and community engagement efforts contribute to robust learning and working environments for all students, staff
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their projects. Teach other group members new skills. Stay informed of current literature relevant to academic research projects. Basic Qualifications Required Qualifications: Ph.D. in chemistry, chemical
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seek candidates whose research, teaching, and community engagement efforts contribute to robust learning and working environments for all students, staff, and faculty. We invite individuals who will join