63 algorithms-phd-"INSAIT---The-Institute-for-Computer-Science" positions at University of Sydney
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planning algorithms for GPS-denied lunar environments and extreme operational conditions stochastic optimisation frameworks for mission-critical decision-making under uncertainty Research areas and technical
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of the algorithms developed in this project. About you The University values courage and creativity; openness and engagement; inclusion and diversity; and respect and integrity. As such, we see the importance
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responsibilities will be to: conduct high-quality research in intelligent sensing and control for complex project environments develop and implement AI-based algorithms (e.g., GNNs, deep reinforcement learning
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understanding of non-stationary complex systems through theoretical analysis and numerical simulation develop efficient statistical algorithms for analyzing and inferring dynamical models from multivariate time
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algorithms and methods for adaptive and personalised feedback, modelling learning behaviours with sequence and deep learning methods, and generating interpretable insights through novel analytics and
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, Medicine, or Engineering) demonstrated experience or knowledge of one or more of the following: computational algorithm development working with medical images, in particular CT or cone-beam CT a
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opportunities to supervise PhD students, mentor junior researchers, and collaborate across academia, industry, and the profession, this role offers the chance to grow your research career in a supportive and
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, Medicine, or Engineering) demonstrated experience or knowledge of one or more of the following: computational algorithm development working with medical images, in particular CT or cone-beam CT a
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Part-time (0.2 FTE, 7.5hrs per week), fixed term up to 3 years, employment aligned with PhD enrolment. Located at the Faculty of Science on the Camperdown Campus Excellent opportunity to develop
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of the project assist with the mentoring of the PhD students that are part of the Laureate program. About you a PhD in creative music practice and music technology, preferably with a research focus on themes