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in Utah to recruit multiple postdoctoral fellows to apply high throughput methods and machine/deep learning to unlock the full potential of the dark proteome. Responsibilities Scientific vision
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
for its beautiful campus, world-class medical care, commitment to the arts and top athletic programs, Carolina is an ideal place to teach, work and learn. One of the best college towns and best places
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, Quad Cities, Rockford, Springfield, and Urbana. UI Health is dedicated to the pursuit of health equity. Learn more: https://hospital.uillinois.edu/about-ui-health This position is intended to be eligible
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Learning for Medical Imaging and Multi-Modal Data in Cancer Research Apply for this job See advertisement About the position Position as PhD Research Fellow in Deep Learning available at the Department
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implement robust AI control architectures (including advanced topics like deep reinforcement learning) for precise motion planning, complex manipulation, and sophisticated sensing/navigation in dynamic
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Sessional Lecturer - CTL5704H - Special Topics in Teaching - Urban Education Curriculum and Pedagogy
stakeholders (including school educators, administration, community partners, professional networks). Deep knowledge and experience in contexts, policies and practices of the three divisions (Primary/Junior K-Gr
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.) during medical imaging and radiation therapy treatments. At least one position will be offered to a researcher that has experience in deep learning and AI development and a willingness to apply these
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Host Institution fluiidd is a deep-tech startup and CEA spin-off developing
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, Medicare and/or commercial claims data, a deep understanding of analytical methods and statistics, and advanced programming skills are therefore desired. The role will also involve preparation of graphical
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independently and collaboratively Experience with deep learning frameworks, such as Tensorflow or Pytorch is advantageous Effective communication skills and an interest in contributing to a highly international