15 big-data-and-machine-learning-phd PhD scholarships at Swinburne University of Technology in Australia
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applications for a fully funded PhD scholarship to work on a cutting-edge research project supported by the Australian Research Council. This project focuses on polarons—quasiparticles representing impurities in
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and confident really helps. Some experience or familiarity with CNC machines, surface engineering or automated manufacturing systems. An interest in machine learning or data analysis, especially
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Applied mathematics, fluid mechanics, high-performance computer simulations. Full time, fixed term position (3 years) at Hawthorn campus $34,700 per annum (2025 rate) About the Scholarship Higher
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and hands-on experience with AI and computer vision. Solid programming skills in Python, especially with PyTorch. Practical experience with deep learning projects, including working with attention
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) and computer simulation (FEA) Experience in material characterisation and experimental testings Knowledge in impact dynamics Passionate and have interest in pursuing PhD degree. Experience in research
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Centre for Quantum Technology Theory (CQTT) Full-time, fixed term (3 year) position at our Hawthorn campus Annual stipend $34,700 About the Role We are seeking a highly motivated and talented PhD
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Centre for Forensic Behavioural Science Full time, fixed term position at Alphington, Victoria Stipend of $40,000 p.a. for 3 years About the Scholarship We have an exciting PhD scholarship
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students) which covers tuition fees for up to four years. Research scholarships are available by application to both future and current students enrolled in or applying for a Doctor of Philosophy (PhD
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groups, and an awareness of security and ethical issues associated with working with health and sensitive data. A full list of selection criteria is available within the position description. About
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and Prof Kath Hulse (Swinburne). This PhD project will analyse the role and mechanisms of social communication, learning and social networks in fostering sustainable and energy efficient household