144 evolution "https:" "https:" "https:" "https:" "https:" "University of Bristol" uni jobs at Monash University
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Hoven (elisevandenhoven.com). See also our dedicated post about this on our website. For more information see http://exertiongameslab.org The result will be a thesis in the field of interaction design.
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Portable point of care medical devices have revolutionised the way in which people receive medical treatment. It can bring timely and adequate care to people in need but also opens up the opportunity to address the healthcare inequality for the rural and remote. As one of the most important...
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meetings A working lunch at in-person meetings Training support for your role as an AEC member The opportunity to understand the cutting-edge science activities being performed at Monash Development
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various skin condition/s. Relevant resources: DOI: https://doi.org/10.1007/978-3-031-43987-2_20 DOI: https://doi.org/10.1007/978-3-031-43907-0_54
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Funding reference https://www.monash.edu/it/nextgen/ai-in-mental-health/projects/headspace-national Learn more about minimum entry requirements . Primary supervisor Levin Kuhlmann Apply now Supervisor
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This project draws on a recent Dagstuhl Seminar (https://www.dagstuhl.de/en/program/calendar/semhp/?semnr=18322) that brought together leading experts from industry and academia, including those who
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This project explores the development of digital tools that measure the carbon footprint and nutritional impact of meals to support sustainable eating. It aims to integrate environmental and
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using data extracted from software repositories. This fine-tuning process aims to enable the models to provide answers to queries related to software development tasks. Examples of such queries include
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the development of Explainable AI Systems that can provide explanations of AI agent decisions to human users. Past work on plan explanations primarily focused on explaining the correctness and validity of plans. In
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of the development of connections in these biological neural networks and their spontaneous and stimulation-driven formation. These models will provide a framework for simulating and testing biological neural networks