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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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-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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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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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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, 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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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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people as the traditional custodians of the land, sea and waters of the areas upon which we live and work. We recognise their valuable contributions and deep connection to country and pay respect to Elders
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of nurses as a key member of our student-centered, innovative community! You will make an impact by: Supporting students learning through workshops, remediation sessions, group tutorials, and one
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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
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architectures Analysis and preprocessing of different data types (texts, images, time series, graphs, etc.) Review latest literature and data Orchestration and documentation of deep learning experiments