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collaboration with hospitals or medical researchers. Understanding of radiology/pathology imaging interpretation. Other Advantages Publications or strong project portfolio in computer vision/medical AI
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National Research Council Canada | National Capital Region Almonte, Ontario | Canada | about 12 hours ago
(IIA) - Digital & Emerging Technologies for our National Program Office, to support the NRCs Collaborative Science, Technology, and Innovation Programs focusing on the advancement of Digital & Emerging
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? Healthcare Benefits GW offers a comprehensive benefit package that includes medical, dental, vision, life & disability insurance, time off & leave, retirement savings, tuition, well-being and various voluntary
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& Psychosis Section, and the Lifespan Brain Institute (LiBI). Our goal is to personalize early interventions in reproductive psychiatry. To do this, we use non-invasive neuroimaging and advanced computational
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(Biomedical Engineering or related field). Experience with machine learning, computer vision, and data science tools. At least 2 years of experience developing applications with Python and Java. At least 2
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for epidemiology that can be applied at the population level and also at the molecular and cellular level for biological applications. Qualifications ● Graduated with an MS degree in Computer Science, Mathematics
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about state-of-the-art methods in machine learning, reinforcement learning and computer vision for the life sciences Your Profile: Excellent Master’s degree in engineering, computer
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learning to support early detection and prioritisation of patients at risk of vision loss. The role involves leading PPIE activities to ensure that patient perspectives and lived experiences shape the design
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excellence of our agriculture. The vision of the agency is to provide global leadership in agricultural discoveries through scientific excellence. Research Project: Under the guidance of a mentor, the
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University of California, San Francisco | San Francisco, California | United States | about 1 month ago
and research staff support the work of 94 full-time faculty and 50+ part-time attending physicians, a residency program, fellowship programs and over 300 housestaff and students each year. Our vision