32 assistant-and-professor-and-computer-and-science-and-data-"U" PhD positions at University of Adelaide in Australia
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demonstrate suitable experience in computer science, machine learning, robotic vision, or a related field (through a high-quality Honours or Masters degree). The successful candidate must be able to enrol as a
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). No extensions shall be considered. Eligibility To be eligible for the Scholarships, applicants must be: Commencing a full-time Doctor of Philosophy program in engineering at the University of Adelaide
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these constraints into the training objective, complicating model training. This project aims to leverage advancements in computer vision, particularly in implicit neural representations, to embed priors in neural
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approval. Enquiries: Dr. Chao Ye and Dr. Zhixiao Xu School of Chemical Engineering / Discipline of Materials Engineering Email: chao.ye@adelaide.edu.au ; zhixiao.xu@adelaide.edu.au Expression of interest
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to be tax exempt, subject to Taxation Office approval. Enquiries: Contacts: Associate Professor Jianfeng Mao and Dr Jingxiu Wang School of Chemical Engineering / Discipline of Materials Engineering
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data on homeowner retrofit needs and preferences. Undertaking research trials to test and refine the AI algorithms used in our platform. Meaningful assistance in research and policy development with a
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learning. This program allows students to conduct cutting-edge AI research at a world-class institute and provides travel funding to gain valuable experience working with international collaborators in
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and Research Skills Training program. This project will be undertaken in collaboration with Associate Professor Peter Smitham, Professor Dominic Thewlis and Adjunct Professor Mark Rickman from
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knowledge of health economics, but this is not a requirement as training will be available throughout the PhD program. Stipend: The scholarship will be for 3.5 years and has a stipend of $35,300 (indexed
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. This includes sample preparation, data collection, computational analysis, and 3D structure determination of protein macromolecules. Experience in cellular tomography workflows for EM analysis of cells and