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develop a versatile time series foundation model that can capture complex temporal patterns and adapt to various downstream tasks such as anomaly detection [2] and classification [3,4]. The ultimate goal is
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Apply now Job no:527566 Work type:Casual Location:Canberra, ACT Categories:Knowledge Exchange Pacific Island Languages Curriculum Developers Expression of interest UNSW Canberra has been engaged by
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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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appropriate technique for their software system. In this project, we will develop AI-based methods for selecting the appropriate APR technique to fix a particular bug. The aim is to improve the effectiveness
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package should be prioritised are surprisingly difficult computational tasks. State-of-the-art high-performance algorithms are used to calculate routes for the vehicles in order to minimise costs and
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learning, algorithms, and programming. Prior exposure to reinforcement learning or human-robot interaction is highly desirable, though motivated candidates with a strong grounding in AI/ML and willingness
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Federated learning (FL) is an emerging machine learning paradium to enable distributed clients (e.g., mobile devices) to jointly train a machine learning model without pooling their raw data into a
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the state’s position in quantum algorithm development. Additional partners include Siemens, Aurizon, and Queensland Energy, collaborating to pioneer quantum technologies for decarbonisation. Hosted by the ARC
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applications for monitoring individuals' health, activities and social behaviour. Yet, there is a lack of common and standard guidelines in developing mobile sensing apps (from both software development and UI
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with implementing these algorithms on fully error-corrected fault-tolerant quantum computers. About You The incumbent is expected to have relevant experience in developing quantum architectures, error