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palliative care models. It comprises a number of sub-projects including a systematic literature review, a synthesis of existing qualitative data, and the design and analysis of a quantitative preference survey
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-year project expense and development package of $13,000 per annum•a three-month industry engagement component with Xcel Sodium•a structured professional development and training program to develop your
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, especially in ultracold quantum gases or condensed matter theory Proven analytical, computational, and modelling skills Experience with numerical simulations of quantum or many-body systems A deep curiosity
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PhD Scholarship in ‘Using nanoparticles to enhance the immune response and improve vaccine efficacy’
are interested in nanoparticles of different materials and compositions to compare to our standard biocompatible and non-inflammatory polystyrene nanoparticles in animal vaccine models, as well as their mechanism
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personal experience, but typically a 2XE internship is centred on advancing data analysis and developing tools for deploying transformative technologies within the renewable and smart energy sectors
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Investigating barriers and enablers to quitting smoking and/or vaping through Indigenous-led qualitative and/or quantitative methods Embedding and advancing Indigenous methods and methodologies, including Yarning
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conditions have been satisfied. Project description/summary: This Project will develop a model of material dynamics and heat transfer within a commercial vertical induction heating reactor. This novel reactor
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will align with and contribute to the Laureate Fellowship programme of research through a focus on possible future working lives in 2030 and 2050 in the construction/building industry. The wider agenda
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results accurately and draw meaningful conclusions to inform further research and process improvements. Background in modelling and simulation using simulation software. Background in Techno-economic
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in medicine — and how we can stop them being misused to spread health disinformation or pose risks to patients. You’ll contribute to one of the world’s leading programs studying large language models