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PhD Scholarship – Modelling the social and political drivers of net zero transitions Job No.: 670767 Location: Clayton campus Employment Type: Full-time Duration: 3.5-year fixed-term appointment
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PhD student(s) will join a vibrant team of postdocs, academics, and up to four PhD students working collaboratively across modelling, qualitative fieldwork, and optimisation techniques. PhD Research
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appointment Remuneration: AUD $50,000 pa stipend, tax-free Tuition Fees: Fully covered Resources: Access to fabrication, prototyping, and simulation facilities, as well as clinical testing sites and
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the structure present in food systems dictates functional aspects such as digestion and release of nutrients. Working alongside other postdocs and students focused more on biological aspects of these processes
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For better or for worse, Generative AI is changing our world. A key challenge in Generative AI is many-shot jailbreaking—where a language model, despite being explicitly trained to reject harmful
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results (if applicable) Names and contact details of 2 academic referees Copy of your current passport (if available) Once you have discussed your EOI with Julie Kalman, please submit your Expression of
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through theory and simulation and/or experimental design and testing; developing new image reconstruction algorithms for providing more information with less radiation; and applying our techniques
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for dementia and sector-spanning models of care to improve quality of care and quality of life. Dr Ayton has a strong track record in health and social care research and methodological approaches including
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CV including qualifications, academic achievements, list of publications, work history and references A copy of your academic transcript(s) Enquiries: Please email sphere-cre@monash.edu Applications
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I am an experimental particle physicist that works on the search for phenomena that are beyond our current theoretical understanding in terms of the Standard Model of Particle Physics. The research