408 phd-in-mathematical-modelling-of-biochemical-reactions PhD positions in Australia
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PhD Scholarship - Movement Metrics for Physical Health Job No.: 682825 Location: Clayton Campus Employment Type: Full-time Duration: 3.5-year fixed-term appointment Remuneration: The successful
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the youth residential care industry. This fully funded PhD scholarship offers the chance to work alongside leading researchers in residential care, systems thinking, and worker wellbeing at a world-class
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burden. This PhD project will be part of or augment a larger NHMRC Investigator Grant project ('Better feet, better lives') that aims to develop better predictive models that help identify people with
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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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nanoparticles in drug delivery or diagnostics, familiarity with cellular targeting, and use of computational tools to model nanoparticle behaviour. Experience in a regulated research environment is also
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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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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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requirements for a Doctor of Philosophy (PhD) at QUT, including any English language requirements for international students. You must also enrol as a full-time, internal student. Applicants will be assessed
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open. Applications are now open. 1 November 2024. 1 November 2024. 1 (One). 1 (One). Standard RMIT PhD enrolment requirement. Open to domestic and international students. Standard RMIT PhD enrolment
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@rmit.edu.au Please send your CV to akram.hourani@rmit.edu.au Required Skills: Programming and simulation: strong experience in Python or MATLAB. Mathematical modelling: probability, optimization, or multi-agent