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for a PhD Teaching Fellow to become part of its academic community. This role allows candidates to engage in teaching and learning activities while continuing to pursue their individual research. We
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 3 months ago
foundation in computing and information sciences at ANU. We are a transformative centre for research in artificial intelligence and machine learning, computer systems and software, and theoretical foundations
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of Machine Learning as the problem of approximating function f from the pair of measurements (x,y), and Optimization as the problem of finding the value of input x that maximizes the output y given
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datasets is essential. Well-developed skills in machine learning approaches, clustering techniques and longitudinal modelling will also be highly regarded. We warmly invite applications for this exciting
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of the University’s Learning Management System (LMS) program, which underpins how learning is delivered, experienced, and continuously improved. As Project Coordinator, you’ll help bring structure, consistency, and
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Accommodation and Car Hire discounts Health Insurance and Banking Novated Leasing About the University At the University of Tasmania, we have mission to make a difference for Tasmania, and from Tasmania. With our
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shapes the next generation of computer scientists. As a Teaching Focused Lecturer, you will play a pivotal role in guiding honours and postgraduate research students through one of the most defining stages
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working also considered upon application. In this role, you will contribute to the delivery of high‑quality, student‑centred learning within the flagship Master of Education (Teacher Librarianship) program
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Research Precinct and Centre for Kidney Research coordinate and engage in high-quality teaching and learning experiences which meet the university’s expectations and standards for education, including
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limited to optimisation, scientific machine learning and AI for science, numerical mathematics, inverse problems and scientific computing. The successful candidate will demonstrate expertise in the design