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for medical imaging, tailored for deep learning. The high-level goal of the project is simple: to use anatomical knowledge and existing knowledge as training data for deep neural networks (instead of manual
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-campus for the Fall 2025 Semester (09/02/2025 - 12/14/2025) Course: Deep Learning This course covers the theory and practice of deep learning, including neural networks, convolutional networks, and
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support for students. Demonstrating enthusiasm for teaching, the teaching/learning process and for individual students. Applying your skills and experience to your assigned teaching schedule. Participating
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have experience in machine learning, deep learning and data science. Besides, you know how to implement data preparation workflows, including data cleaning, feature engineering, and exploratory data
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aligned with the College’s strengths, producing impactful publications and securing external research funding. Supervise and mentor students undertaking Work Integrated Learning (WIL), Honours, and/or
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, Campus, and/or departmental goals to assure compliance with programmatic accreditation and/or licensure, internal consistency, and graduate outcomes that meet student learning, workplace and placement
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on the development of a 4D injectable hydrogels for the treatment of deep wounds; so-called tunnel wounds. The CRMD team will be responsible for the design and development of peptide-based nanocarriers
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learning frameworks and pipelines in SKLearn, Numpy, Pandas, and PyTorch. Proficiency with deep learning frameworks such as PyTorch, TensorFlow, LangChain, HuggingFace, axolotl. Knowledge of and ability
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learning experiences Adult learning principles and instructional design knowledge Ability to adapt training delivery style to different learning preferences and skill levels Strong workshop facilitation and
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the WATOC Dirac Medal. As the successful candidate, you will contribute to the design and implementation of AI models that integrate quantum mechanical theory with deep learning, enabling rapid and