702 systems-science "https:" "https:" "https:" "https:" "UNIV" positions at Monash University in Australia
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Medical Science Honours Scholarship Achieving Potential Scholarship for Distinction This scholarship is to support disadvantaged medical students to be able to intermit medicine to undertake
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diabetes management system using a mobile app to rate foods based on the glycaemic response of an individual. AI models will be trained on both the food intake and blood glucose data, and learn from
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find some of our publications here: https://i.giwebb.com/research/computational-biology/ Required knowledge A solid grounding in artificial intelligence and machine learning. Learn more about minimum
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, for instance, utilise conversational agents, computer vision, mixed reality, wearables etc. Disability, Technology, and Society: Research with a sociological or anthropological focus on the use of bespoke and/or
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Monash PSA Insurance Medical Science Honours Scholarship The Monash PSA Insurance Bachelor of Medical Science (Honours) Scholarship as funded by the Victorian Medical Insurance Agency Limited is set
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enable us to better understand deformation - with a view to anticipation, remedy and possibly prevention. The PhD project is a collaboration between the Faculties of IT and Engineering with the student
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An opportunity is open to a suitable applicant to conduct a fully funded, full-time PhD within the GPCR EcoPharmacology Lab, Monash Institute of Pharmaceutical Sciences (MIPS), Monash University. The successful
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PhD Scholarship – Optimising the health of women during pregnancy: scaling accessibility, equity and culturally appropriate healthy lifestyle initiatives in health systems Job No.: 686549 Location
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the opportunity to work on a project at the intersection of labour economics, health economics, industrial organisation, and public policy. When firms close or downsize, the economic shock extends far beyond
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In NeuroDistSys (NDS): Optimized Distributed Training and Inference on Large-Scale Distributed Systems, we aim to design and implement cutting-edge techniques to optimize the training and inference