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, Siemens MR IDEA Image Calculation Environment (ICE), Python and MATLAB, and deep learning techniques are considered assets A strong publication record demonstrating research excellence. A minimum of one
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Sessional Lecturer - CTL7014H - Fundamentals of Teaching and Learning Course number and title: CTL7014H - Fundamentals of Teaching and Learning Course description: This course will explore
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medicine, biotechnology, and the life sciences. We seek outstanding candidates with an innovative and impactful research program integrating deep learning and AI-driven approaches across the protein design
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program. Analyze and interpret remote sensing datasets (satellite, UAV, and/or LiDAR-derived) relevant to fire, fuels, and landscape-scale research questions. Develop and/or adapt machine learning and deep
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, we believe that attracting and sustaining a diverse workforce is key to the successful pursuit of excellence in research, innovation, and learning for all faculty, staff and students. Our commitment
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relevant to the professional obligations of student assessment and evaluation, grading and reporting. Examination of effective strategies of assessment for, as, and of learning is at the core of this course
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CRC2 & Mitchell Funded Tenure-Track Faculty Positions in Supercomtuping and High-Performance Computi
Queen's University - Electrical and Computer Engineering, Smith Engineering | Kingston Downtown, Ontario | Canada | about 13 hours agolibraries (e.g. SCR, Adios, HDF5 and concepts e.g., POSIX). • deep expertise in one or more supercomputing/HPC research areas. Examples of possible expertise (not an exhaustive list) include: o
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emphasis on reflective learning has cultivated a deep interest in social justice, expressed through STM’s unique interdisciplinary programs (e.g., Catholic studies; critical perspectives on social justice
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/artificial intelligence methods. The Research Associate will have significant experience in research into neurodegenerative disorders using speech and deep learning technologies. They will establish the design
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questions in the solid Earth sciences. Candidates applying geochronological approaches to problems across the full breadth of hard-rock geology are welcome, including deep-time crustal evolution, tectonic