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to identify and visualize long-term patterns in blood glucose among people with insulin-treated type 2 diabetes. Moreover, the PhD fellow will include development and testing of a prototype user interface in
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sustainable materials, (d) Artificial Intelligence (AI) models to predict and control the manufacturing process and (e) a Digital Twin (DT) incl. Building Information Modeling (BIM) information backbone
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academic, technical, and career skills.Fully funded PhD scholarship but encouraged to apply for national PhD fellowships (e.g., FWO). Support and guidance to apply for your own funding is providedScientific
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academic, technical, and career skills. Fully funded PhD scholarship but encouraged to apply for national PhD fellowships (e.g., FWO). Support and guidance to apply for your own funding is provided
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Sintorn, Professor in digital image processing, at the Department of Information Technology and conducted alongside researchers developing computational methods with a particular focus on deep learning and
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PhD Scholarship in Integrated Photonics for Telecommunication, Biosensing and Precision Measurements
waveguides and fibres Digital signal processing Design and analysis of photonic systems. Applicants must have a Bachelor/Masters degree (or equivalent) in electrical/electronic engineering, nano
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PhD Studentship: Optimisation of Liquid Metal Filtration and Cleanliness in Nickel Based Superalloys
A four year PhD with integrated studies is available in the High Temperature Research Centre, School of Metallurgy and Materials under the supervision of Prof Nick Green and Prof Roger Reed, with a
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research and methodological development to design and implement novel computational models and solutions. A solid theoretical background and hands-on experience in digital image processing and deep learning
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. Candidates must have a strong motivation for research and excellent programming skills. Expertise of developing computer vision and machine learning algorithms would be desirable, with an interest in image
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PhD Scholarship: Reimagining Architectural Practice through AI - An Industry-Embedded Research Opportunity Job No.: 679177 Location: Shared between JCB Architects’ studio, in Richmond and Monash