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Apply now Job no:538457 Work type:Full Time Location:Sydney, NSW Categories:Post Doctoral Research Associate The Opportunity The Flow Noise Group in the School of Mechanical and Manufacturing
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learning, pytorch, huggingface etc... Knowledge of speech, audio, time-series or signal processing is required. Ability to effectively and efficiently utilise industry-standard Linux-based computers for AI
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, and clinical informatics, with healthcare innovation and industry partners. Our research on early prediction of dementia (https://www.bbc.co.uk/news/health-57934589 ) has the potential to deliver
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directly by KAUST, by the RDI Authority (https://www.rdia.gov.sa/index.en.html), and through industry collaborations. KAUST (https://www.kaust.edu.sa) is an international, graduate-only research university
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-dependent MLCS regulation on lysosomal trafficking, mitochondrial quality control and hypoxia-induced cell death. Please apply for this project using this link: https://www.sheffield.ac.uk/postgraduate/phd
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Project description Electromagnetic (EM) sensing is emerging as a powerful enabling technology for modern high-value manufacturing. Advances in computing power and machine learning now allow us to
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applications into their teaching, and contribute to curriculum development that reflects evolving industry practices. The ideal candidate will demonstrate a commitment to teaching, scholarship, and service
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programs in electrical engineering. Strengthening partnerships with industry, government, and research organisations in energy, transport, and manufacturing sectors. Contributing to national priorities in
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, you will ensure the seamless, high-quality operation of Kōawa Studios and deliver exceptional experiences for commercial clients. Your leadership will help build industry confidence, enhance our
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undergraduate courses within the Advanced Manufacturing Systems degree and certificate programs. The successful candidate will teach courses including (but not limited to): Fundamentals of Medical Manufacturing