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talented Machine Learning Engineer with expertise in healthcare data analysis, medical terminology, and cutting-edge machine learning techniques. The ideal candidate will play a crucial role in designing
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Robust machine learning using information theoretic approaches for damage detection in complex machines (C3.5-ELE-Esnaola) School of Electrical and Electronic Engineering PhD Research Project
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The job information is shown below. Please click on the links to see full details. Joining our Digital Learning team, you will work closely with our Senior Learning Technologist to play a proactive
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% Superannuation (HEW Level 7) Based at our vibrant St Lucia Campus About This Opportunity Shape the future of learning at UQ Business School - in this role, you’ll collaborate with academic staff to design and
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improvements in machine learning (ML) applications now allow researchers without extensive programming backgrounds to implement advanced image-processing techniques using accessible programming languages and
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hardware configuration, conduct Hardware/Software requirement analysis, embed cybersecurity, develop software development, and embed Data Science and Machine Learning capabilities. Specifically
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The Library, Information & Digital Services Department is looking to recruit a highly motivated and dedicated Learning Technologist to provide maternity cover for the current post holder. With
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Contract Type: Fixed term until 30/11/2026 The Library, Information & Digital Services Department is looking to recruit a highly motivated and dedicated Learning Technologist to provide maternity
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SD- 26053 PHD IN ULTRA-FAST MACHINE-LEARNING INTERATOMIC POTENTIALS FOR NANOINDENTATION OF TIC MA...
PhD candidate to develop and apply ultra-fast machine-learning interatomic potentials (UFPs, Xie et al., npj Comput. Mater., 2023, 10.1038/s41524-023-01092-7 ) for long, multi-million-atom molecular
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apply ultra-fast machine-learning interatomic potentials (UFPs, Xie et al., npj Comput. Mater., 2023, 10.1038/s41524-023-01092-7 ) for long, multi-million-atom molecular dynamics (MD) simulations