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This PhD project aims to leverage continuous glucose monitoring (CGM) technology to develop personalized nutrition and meal timing strategies for people living with type 2 diabetes. By continuously
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a focus on neurological disease and neuroimaging. To be successful you will need: A PhD in Computer Science, Engineering or other Machine Learning-related technical field. Programming experience in
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and technology. Engaging in solving a real-world problem requires a real solution to enhance housing resilience. Applying research skills to optimise and innovate AI-driven solutions for the housing
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you will need: A PhD in Forensic Science, Electrical Engineering, Computer Science, Data Science, Criminology or related area (or near completion). A record of high-quality research outputs, including
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/or molecular biology, biochemistry or related discipline. Experience in/with cell culture with mouse and human cancer cells, gene and protein expression techniques and generation of engineered cell
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the development of predictive models to anticipate potential failures. Additionally, the project will facilitate the transfer of this technology to industry, while also advancing academic knowledge
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addition to debits, credits can be obtained. The research performed under this internship by an Electrical/Power Engineering or Computer Science PhD student will relate to this reform, specifically investigation
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acquired from a functional lung imaging modality called X-Ray Velocimetry (XV). XV is a revolutionary lung imaging technology developed by Australian company 4DMedical. XV enables lung motion and airflow
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Technology students. This position will be primarily located at the picturesque Roseworthy campus of the University of Adelaide. The position will suit an Australian Fellow or American/European Boarded
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IV in Veterinary nursing or Bachelor of Veterinary Technology and have some large animal handling experience are encouraged to apply. What We Offer: Competitive salary based on experience + shift