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informatics. Research strengths include intelligent systems, data analytics, cybersecurity, digital health, sustainability and human–computer interaction. The Faculty of IT at Monash University provides
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of generative AI. Essential Skills and Experience A background in a relevant field such as behavioural science, cognitive science, data science, psychology, human-computer interaction, law, or a related
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conversion of biomass into high-value platform chemicals and bio-slurry fuels. The project builds on our patented and published bench-scale work, aiming to scale up the process to continuous operation using
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, addressing critical challenges in the transition to sustainable metallurgical processes. The successful candidate will develop a fundamental scientific framework to tackle key research questions in
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considered. Applicants must show excellent communication and interpersonal skills, and the ability to conduct self-motivated research. They should have either completed or in the process of completing a
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supergiant stars right before the explosion Searching different astrophysical channels that produce r-process elements Connecting the properties of long-duration gamma-ray bursts and associated supernovae web
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reliability in digital environments. This research will involve collaboration with industry, policymakers, and community organisations, providing unique opportunities to develop impactful, real-world solutions
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the development and application of digital, robotics and sensor-based technology to address key challenges in ageing, which are to enhance cognition, promote independence and foster social connectedness
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a research degree at Monash, please click here . Apply for a scholarship Please follow the 3-step application process here . Application dates for the commencement of the Integrated PhD program in
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reimagined economic outcomes must be measured in novel ways Focusing on three critical sectors – energy, transport and water – and three key processes – standardising climate information, underwriting climate