190 phd-studenship-in-computer-vision-and-machine-learning PhD positions in United States
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Integrating purpose science to enhance leadership and organizational performance Scaling purpose science to create accessible and personalized learning experiences Position Summary : This role is ideal for a
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and Sciences (FAS) is the historic heart of Harvard University. It is the home of Harvard’s undergraduate program (Harvard College, founded in 1636) as well as all of Harvard’s Ph.D. programs
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gained as an undergraduate); strong quantitative background and computer skills including programming experience; excellent academic record; and ability to work independently. PREFERRED: Research assistant
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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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- 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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drug overdoses. The translation of cutting-edge data science methods and results into usable scientific, policy-related or clinical knowledge is a particular focus. Example learning problems include
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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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of the principal investigator (Sara St George PhD). Dr. St George’s program of research is focused on promoting health, preventing chronic disease, and fostering positive relationships among Hispanic families by
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for the AI Security Researcher role. Originally created in response to one of the first computer viruses -- the Morris worm – in 1988, CERT has remained a leader in cybersecurity research, improving
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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