22 phd-in-computer-vision-and-machine-learning Postdoctoral positions at Indiana University
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Science, Computer Science, Data Science, Neuroscience, or a related field by the start date. Demonstrated expertise in computational modeling of human behavior or computer vision / machine learning
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accomplish this in an environment of inquiry and learning for the advancement of patient-centered care through a world-leading eye institute. To successfully accomplish our mission and vision, we must foster a
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. Knowledge and understanding of modern molecular biology, immunology and biochemical techniques including ChIP-sequencing and other multi-omics techniques is a plus. Strong analytical and computer skills are
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, Neuroscience, or a related field by the start date. Demonstrated expertise in computational modeling of human behavior or computer vision / machine learning. Proficiency in Python, MATLAB, or R. Strong
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community and we 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
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Behavioral Health Research Program at the Indiana University School of Medicine is currently seeking applications from highly motivated, team-oriented candidates for a research postdoctoral fellowship. The
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) from NIH studies and receive mentorship from faculty investigators toward the development of an independent program of research. Opportunities to become involved with other areas of work will arise
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PhD in informatics or a related discipline (e.g., computer science) · Ideal candidates will have EITHER, both are not required o Experience recruiting and retaining adolescents in longitudinal
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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, and faculty. We
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to join our team. IUSM is committed to being a welcoming campus community and we seek candidates whose research, teaching, and community engagement efforts contribute to robust learning and working