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and planning algorithm for high-speed autonomous vehicle. The work will involve algorithm development, simulation, test rig set-up, and experimental validation. Requirements: The candidate must at least
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university/spinout environment. This is a unique opportunity to work at the forefront of applied research and innovation, helping translate novel control algorithms and hardware prototypes into real-world
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 2 months ago
Selection Criteria: PD&PEWER_Level B_Rio Tinto Postdoctoral Fellow.pdf Work collaboratively with Prof Christian Barry, RSSS Director on the Rio Tinto for Future Materials Contribute to a worldwide project
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application. For the post of Research Assistant, applicants should have an honours degree or an equivalent qualification. Applicants are invited to contact Prof. Dan Zhang at telephone number 2766 6661 or via
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consists of 5 principal Investigators, Prof. Xi Dai (daix@ust.hk ), Prof. Kam Tuen Law (phlaw@ust.hk ), Prof. Junwei Liu (liuj@ust.hk ), Prof. Hoi Chun Po (hcpo@ust.hk ) and Prof. Xue-Yang Song (songxy
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the leadership of Prof Jhuma Sadhukhan (fixed term contract up to early 2029). The primary objective of this role is to conduct comprehensive research focusing on techno-economic analysis and life cycle
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theoretical computer science to develop algorithms and/or data structures, to further our understanding of what is possible in various computation models. The Research Associate/Research Fellow is also expected
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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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based in the team of Prof. Perdita Barran in the Michael Barber Centre for Collaborative Mass Spectrometry, and work closely with Dr. John Hoyes (TrueMass Ltd.), Dr. Dimitris Papamastasiou (Fasmatech Ltd
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. In this role, you will be part of the research team, working to develop and evaluate privacy-preserved Generative AI algorithms for generating synthetic Personal Identity Information (PII). This aims