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everyone's contributions, lived experience, and expertise. That’s why we champion an inclusive and respectful workplace culture where everyone is supported to succeed. Learn more about Monash . The
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contributions, lived experience and expertise. That’s why we champion an inclusive and respectful workplace culture where everyone is supported to succeed. Learn more about Monash . About Us The Monash Law
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Lecturer in Learning and Teaching Job No.: 664278 Location: Clayton or Peninsula campuses Employment Type: Full-time Duration: Continuing appointment Remuneration: $111,603 - $132,529 pa Level B
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to quality research facilities, infrastructure, world-class teaching spaces, and international collaboration opportunities. Learn more about Monash . The Opportunity The Student Experience division
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. The research fellow will program and develop generative artificial intelligence and deep learning systems, including working with state-of-the-art transformer and diffusion models. This experience will be
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units and w's represent the weights of the neural network. References: [1] Buser Say, Ga Wu, Yu Qing Zhou and Scott Sanner. Nonlinear hybrid planning with deep net learned transition models and mixed
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experience in at least one of the following areas: deep learning, active learning, deep reinforcement learning, and natural language processing.
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Computer Science and/or Chemical Engineering or equivalent; 2) Excellent mathematical and programming skills, in particular in the areas of Artificial Intelligence (AI) and machine learning including deep learning
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levels for manufacturing, routing delivery trucks for transport, scheduling power stations and electricity grids, to name just a few. In recent years, deep learning is showing startling ability
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added to the input images, can easily fool models' decisions. Such adversarial perturbations, therefore, pose a serious concern to the deployment of deep learning models in real-life scenarios