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] Subject Areas: Omics, R Software, mixOmics, R package, mathematical and statistical characterization, statistical methods Appl Deadline: 2025/07/21 11:59PM ** (posted 2025/06/19, listed until 2025/07/21
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to develop their research expertise relevant to their particular field of research. This position is funded by the ASIC Defence Trailblazer Grant. To be successful you will need: A PhD in Mathematics, Computer
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PhD students working on related projects within the partnership. Outputs will include: Research publications in high-quality journals and conferences. Innovative AI solutions and prototypes addressing
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programming and data analysis. Interest in developing methods, algorithms or software. Evidence of publications in high-quality peer-reviewed journals. Excellent communication skills. Experience
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Public Policy, providing cutting-edge research in areas such as econometrics, macroeconomics, data analysis, and quantitative methods. Our ideal candidate is comfortable in working independently with a
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.). Prepare microscopy samples using various metallography techniques. Carry out advanced microscopy including state-of-the-art methods of scanning electron microscopy, X-ray diffraction and related. Carry out
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 1 month ago
for robotics. This project is a collaboration with the Australian Defence Science and Technology. It aims to develop computational representations and methods for efficient sequential decision-making under
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methods for the prediction of crystal structure, the critical step in materials prediction for discovery. It will develop and apply new ML approaches to crystal structure prediction. Based at the University
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Integrated Planning & Learning and Reinforcement Learning in non-deterministic and partially-observed scenarios. The methods will be evaluated on physical robots. The ideal candidate would have: A PhD (or
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competitive research program in surface science. Publish in high-impact journals and secure competitive research funding. Supervise Honours, Masters, and PhD students. Service & Facility Management Specialise