2,953 phd-studenship-in-computer-vision-and-machine-learning Fellowship research jobs
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of the educational program take place, and personally supervise and teach surgery and surgical critical care fellows in that unit. Minimum Requirements: · MD or DO degree and current certification in Surgical
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This is a theoretical/computational postdoctoral position for the prediction and development of point defects in two-dimensional materials for applications in quantum technologies. Project
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the biological mechanisms linking cardiovascular diseases with cancer and cancer therapies. She uses human-induced pluripotent stem cells (iPSCs), patient-derived samples, genomics, and computational biology to
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, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow. We welcome you to join our community
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development and training to rising public leaders each year. The fellowships offer students an intensive, cohort-based co-curricular program grounded in servant leadership and experiential learning
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Computer Science, Electrical & Electronic Engineering, or equivalent. Background knowledge in signal representation/processing, data-driven and machine learning/analysis, esp in climate related topics. Prior
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have a postgraduate degree, ideally a doctoral degree, in a relevant field and experience in computer-based analyses and presentation of experimental data. The successful applicant would have a proven
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, glioblastomas, colon cancer, and lung cancer. Advancing precision oncology through machine-learning models: We integrate multimodal patient data, including multiomic data and health record information, to develop
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About the role We have an exciting opportunity to join the Draper Group in the Department of Paediatrics as our Clinical Research Fellow – Malaria Vaccine Programme. This role is focused
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mechanisms linking cardiovascular diseases with cancer and cancer therapies. She uses human-induced pluripotent stem cells (iPSCs), patient-derived samples, genomics, and computational biology to identify