187 phd-studenship-in-computer-vision-and-machine-learning PhD positions in United States
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Minimum Qualifications Candidates must have a PhD and proven research experience in computation analyses, statistics, mathematical modeling, or engineering. Prior experience in Ophthalmology research is not
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Science at University of California, Los Angeles, invites applications for part-time positions as a Visiting Researcher. These areas include, but are not limited to, Artificial Intelligence, Computer System Architecture
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to design and implement machine learning techniques and algorithms. * Demonstrated expertise in the Linux computing environment. * Excellent planning, organization and execution skills. * Positive attitude
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State University of New York University at Albany | Albany, New York | United States | about 12 hours ago
innovative research and work on projects alongside faculty and researchers at CTG UAlbany. To learn more about CTG UAlbany visit http://www.ctg.albany.edu . CTG UAlbany's research portfolio focuses
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- 65,000 Required Qualifications: A Ph.D. in biomedical informatics, computer science or a related field. Working experience with large language models, data science using EHRs, machine learning, data mining
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interdisciplinary and experiential learning to join the Source Project, Binghamton University's distinctive first-year research program in the Humanities and Social Sciences. The position begins August, 2025. PhD in
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University of Massachusetts Medical School | Worcester, Massachusetts | United States | about 1 hour ago
and cell culture techniques are desired. The candidate is expected to work closely with an interdisciplinary research team and must be motivated to acquire new experimental skills. PROJECT DESCRIPTION
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validating deep learning models for the prediction of disease progression from ophthalmic data. Skills include working with image or computer vision-based toolkits, development of multimodal, multidata type
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or scholarship responsibilities may include carrying out research projects in collaboration with the TBI center faculty as well as establishing their own independent research program aiming
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Machine Learning Problems > Constantly questions finance/trading data and stays motivated to seek answers despite most often proving that there is no correlation or signal > Experience in setup of research