151 algorithm-development-"Prof"-"Prof"-"Prof" research jobs at University of British Columbia
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The fellow will be responsible for: Building collaborations with our multidisciplinary team (medical physicists, engineers, computer scientists, nuclear medicine physicians) to develop and implement innovative
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scientists, nuclear medicine physicians) to develop and implement innovative AI algorithms applied to medical images To lead effort on enabling translational and physician-in-the-loop AI solutions for medical
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with expertise in biology, biotechnology, computer science, microscopy and bio-engineering that is developing new microscopy hardware and new computational algorithms for the encoding and decoding
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Summary This position will provide technical support to data management plan development, data management, and assist Post-Doctoral Fellows with the development of machine learning methods. Organizational
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working with developed systems and procedures, following direction from the Director of the AMC research program. Work Performed Act as the contact person for the VGH Falls Clinic, part of the AMC Lab, and
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analysis. Prepare reagents for experiments Monitor use of reagents and other supplies, order lab supplies and maintain inventory Establish and maintain laboratory information and data files; perform data
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hydrogen/methane blends in 15 MW boilers and prepare a report (thermal power and heat transfer analysis at large-scale); b) Collaborate with UBC technicians in acquiring data from our 15 MW boilers, analyze
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term. Job Summary One position is available for motivated and industrially oriented individual to support the team’s research and development efforts, headed by the UBC Department of Chemical and
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using the appropriate modes of communication and documentation, Review data results with principal investigators. For Investigator initiated studies in Pediatric Neurosurgery: With the PI, develop case
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synthesis projects to inform the development of clinical guidelines for safely deprescribing medications. Another focus will be conducting quantitative analysis of large health datasets related to reducing