603 embedded-system-"https:"-"https:"-"https:"-"https:" positions at Monash University in Australia
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operational needs. There is a key opportunity for specialist work in an emergent intersection area which we can call Value-Based Digital Health (VBDH). To expand further, VBDH is a discipline area that sits
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This PhD project is funded by a successful ARC Discovery Project grant: "Improving human reasoning with causal Bayesian networks: a user-centric, multimodal, interactive approach" and the successful
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Background and Motivation Modern deep learning models have achieved remarkable success in computer vision and natural language processing. However, they typically produce overconfident predictions
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Cybersecurity is an interdisciplinary field. There is an urgent need to build up talent in human factors in cybersecurity. This PhD will provide the candidate with a unique pathway into industry
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Modern map-based systems and location-based services rely heavily on the ability to efficiently provide navigation services and the capability to search points of interests (POIs) based
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I supervise a wide range of projects in stellar astrophysics, with a focus on low and intermediate-mass stars, which have masses similar to or slightly larger than our Sun. This work is carried out
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Engineering Excellence Scholarship Sir John Monash Scholarship for Distinction This scholarship is for commencing Engineering students and is awarded based on academic achievement. Up to five
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of $13,000 per annum The Opportunity The CSIRO Industry PhD Program (iPhD) is a four-year research training program, focusing on applied research that benefits industry by solving real-world challenges. It
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Project Background and Motivation The "inverse design" of molecules from analytical spectra (such as MS2, NMR, or IR) is a fundamental bottleneck in analytical chemistry, metabolomics, and drug
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learning, algorithms, and programming. Prior exposure to reinforcement learning or human-robot interaction is highly desirable, though motivated candidates with a strong grounding in AI/ML and willingness