83 algorithm-development-"Prof"-"Washington-University-in-St"-"Prof" Fellowship positions 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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record of developing and implementing novel machine learning (ML) and deep learning (DL) algorithms in healthcare, exercise sciences, or other spaces. Extensive experience in utilizing ML libraries such as
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developments in the areas of minimally invasive joint replacement, improved bone healing, advanced techniques in spinal surgery, innovative arthroscopic techniques, and improved biomaterials and implants
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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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: Computer Architecture Algorithms and Optimization Health Research Human-Computer Interaction Machine Learning and ML Foundations Machine Perception Natural Language Processing (including Information
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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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. The research group has developed a novel software application called ActionADE that supports the documentation and communication of adverse drug events to providers in other health sectors. The app also supports
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. The research group has developed a novel software application called ActionADE that supports the documentation and communication of adverse drug events to providers in other health sectors. The app also supports
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, focused on advancing our understanding and engineering of the immune system across the lifespan. This role is part of a broader vision to develop clinically relevant immune regeneration strategies within