70 algorithm-development-"Prof"-"Prof" Fellowship positions at University of British Columbia in Canada
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record of development and implementation of novel machine learning algorithms in the healthcare setting or other spaces. Extensive experience in utilizing machine learning libraries such as PyTorch
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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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: 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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Research Fellow to lead the development of novel single-cell functional genomic approaches to identify therapeutic vulnerabilities in prostate cancer. This project integrates cutting-edge single-cell
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Lab, applying machine learning to cutting-edge problems in cancer genomics, transcriptomics, spatial transcriptomics, and large-scale bioinformatics. This role focuses on developing and applying AI and
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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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conducive to the exploration of novel ideas and the development of impactful solutions to research problems. Innovation Building: Participants will have the privilege of attending research workshops
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of these positions will depend on the strengths of the incumbents, but may include: Developing genomics technologies including, reporter assays, DNA synthesis, genome engineering, Reconstructing gene regulatory
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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