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Location: Kensington, NSW (Hybrid working model) About UNSW At UNSW, we pride ourselves on being a workplace where the best people come to do their best work. We aspire to be Australia’s global university
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community professionals in building foundational math skills in children under their care. Learning for Life Learning for Life is an innovative, evidence-based program that supports students throughout
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innovative approaches to enhance privacy in ML models, algorithms, and workflows, with a particular emphasis on preserving confidentiality while maintaining the utility and accuracy of the learned models
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. Specific accountabilities for this role include: Leading process improvements, investigating, analysing, and documenting business processes and the underlying business model for a system or process area Work
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this work we will use Theory of Mind (ToM) to reason about the mental models of the actors involved in AI systems, designers, agents and users and expand on the "Model Reconciliation Problem" or reconciling
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In many branches of science (e.g., Artificial Intelligence, Engineering etc.), the modelling of the problem is done through the use of functions (e.g., f(x) = y). On a very high-level, we can think
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into experiments, prototypes, and minimal viable products across various domains. You’ll need a strong engineering background with applied AI knowledge particularly in large language models (LLMs). Contribute
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environments (university-based clinic or external site e.g. school, hospital, community centre, industry). Develop and implement appropriate student education processes and models of clinical supervision
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model for a system or process area. Participate in the preparation of business cases which define potential benefits, options for achieving these benefits through development of new or changed processes
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School of Electrical Engineering and Computer Science Full-time (100%), fixed-term position for up to 3 years Base salary will be in the range $80,448.78 - $107,104.10 + 17% Superannuation (Academic