53 model-driven-development "Integreat Norwegian Centre for Knowledge driven Machine Learning" positions at UNIVERSITY OF SYDNEY
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David Levinson , the successful candidate will contribute to the development of hybrid quantum-classical modelling approaches that support improved analysis, simulation, optimisation, and decision making
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capability in quantum computing, data-driven modelling, infrastructure systems, computational optimisation, simulation, probabilistic methods, or related areas. This project is part of an ambitious research
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Engineering is seeking a highly motivated Postdoctoral Research Associate/Fellow (Level A or Level B) to contribute to a research project focused on the development of advanced microwave and antenna
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Full time, fixed term for 1.5 years Apply your expertise in electrochemical device development and
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to staff position within a Research Infrastructure? No Offer Description Full time, fixed term for 1.5 years Apply your expertise in electrochemical device development and chemical process design to
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, inclusive and purpose-driven community at the University of Sydney's Faculty of Medicine and Health, where world-class research and teaching are transforming lives locally and globally. The Faculty
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implications. BUILD AI: Develop the next generation of AI methods, models, systems, tools and technologies, and the engineering and computational foundations that enable them. We welcome researchers whose
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capabilities, limitations, behaviour, impacts and implications. BUILD AI: Develop the next generation of AI methods, models, systems, tools and technologies, and the engineering and computational foundations
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learning or a related field experience in the development of machine learning models using Python and pytorch expertise in two or more of the following technical areas: implementation of signal processing
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at transforming the way low back pain is managed across Australia. The program will co-design and evaluate three innovative models of care to improve access to evidence-based care for people with low back pain