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including the application of artificial intelligence and machine learning. You will engage with industry, government, and research collaborators, fostering partnerships that deliver outcomes aligned with
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University of Western Sydney | The University Of Sydney, New South Wales | Australia | about 2 months ago
and research experience on the structural health monitoring of bridges. Applicants are expected to have experience in structural health monitoring, digital twins, AI and machine learning. A track record
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functionalisation, fabrication and characterisation of carbon materials for application in solar cells Predication and discovery of new materials for next generation solar cells driven by machine learning
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for research leadership. Conceptualisation and completion of data analyses with skills related to epidemiology, biostatistics and modelling including machine learning methods A sound understanding of clinical
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machine learning, multi-level complex data engineering, emerging technologies in transport and economics analysis. We’re offering this role as a hybrid position as part of QUT’s commitment to embracing
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modelling, discrete choice modelling, designing choice experiments and machine-learning methods to address sustainable transport and mobility challenges. We’re offering this role as a hybrid position as part
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demonstrated aptitude to engage collaboratively with industry partners and other external stakeholders. Knowledge of optimisation solvers and proficiency in machine learning algorithms and their practical
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Schools teach an array of programs and degrees carefully structured to meet the demands of future industry. The University is ranked in the top 2% of universities worldwide, with over 85% of its assessed
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one or more of the following areas: complex quantum processes, quantum error corrections, tensor networks, optimisation and machine learning, and developing software infrastructure Some experience in
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You Completion (level A and B) or near completion (level A) of a PhD in the field of Information Retrieval, Natural Language Processing, or Machine Learning on Textual Data. Demonstrated expert