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learning, offers powerful solutions to automate these tasks and provide reliable real-time information. This doctoral project is part of a 5-year research chair on Computer vision applied to the swine sector
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+ benefits. Machine Learning for Computational Pathology, Medical Imaging, and Clinical Text Job Summary The School of Biomedical Engineering at the University of British Columbia, Vancouver campus is seeking
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Learning Course Description: Machine Learning applications are increasingly utilized to make crucial decisions in many sectors of our economy and society. These include, but are not limited to, healthcare
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engineering, electrical engineering, data science, or a related field. Skills in embedded systems development, electronics, or IoT (C/C++, Python, Arduino/ESP32, etc.) OR in machine learning and sensor data
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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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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 8 hours ago
development and accreditation. Responsibilities: The successful candidate will teach six undergraduate courses per year in the Computer Engineering curriculum. Courses may include: Computer Architecture
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) and dynamic spread models for invasive forest and agricultural pests, integrating multi-source ecological data using machine learning and statistical approaches. Develop and validate phenological models
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 19 hours ago
program development and evaluation. Must have strong computer skills, including the use of Microsoft Word, Excel, PowerPoint, Adobe Acrobat, and email software, as well as an ability to adapt to and learn
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. Qualifications: PhD in machine learning, with experience in applications in computer vision or medical image analysis. Strong publication record in top venues (e.g., CVPR, MIDL, MICCAI, IPMI, PAMI, TMI, MIA
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, research areas include Operations Research, Information Engineering, Human Factors, and Applied Machine Learning, all of which seek to improve the systems we as humans rely on to navigate our world