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, community, and connection. Within LRS, we value continually learning. You will be expected to continually pursue new areas for learning related to this role and use newly gained skills and knowledge
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design platforms for rapid deisgn and optimisation of novel targeting modules. Your responsibilities will include: Designing and implementing state-of-the-art deep learning architectures for protein
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Natural Language Processing, Applied Computer Vision Specialized areas: Deep Learning, Generative AI, Prompt Engineering, Conversational AI and Chatbots, Reinforcement Learning Applied domains: Machine
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needs; collaborate with cross-division and cross-campus partners to solicit speakers, plan programming objectives, and execute on logistics. Develop learning objectives and desired outcomes for all
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or working with complex datasets, ideally from experimental or sensor-based systems. Hands-on experience with machine learning, including deep learning, probabilistic models, or physics-informed approaches
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December 2026 • Onsite at Macquarie University, Wallumattagal Campus (North Ryde) Are you passionate about making a meaningful difference in the lives of students with diverse learning needs? Join our
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, 3 days/21 hours a week • Onsite at Macquarie University, Wallumattagal Campus (North Ryde) Are you passionate about making a meaningful difference in the lives of students with diverse learning needs
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backgrounds, identities, and experiences are valued, and where our people are empowered to thrive through supportive leadership, shared responsibility, and a deep commitment to genuine care and respect for our
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600 faculty and staff. The COO will also help shape and implement a comprehensive School-wide strategy for technology and information resources that advances teaching, learning, research, and
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leading academic and industry partners within the Horizion Europe Project. Your profile We are looking for a highly motivated and talented candidate with a background in deep learning. The required