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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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applied physics other related disciplines. Demonstrated knowledge in at least one of the following areas: porous media flow computational fluid dynamics (CFD) pore-network modelling lattice Boltzmann method
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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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The scholarship provides a minimum stipend of $34,481 each year for three years to perform experimental investigations and developing mathematical models to valorize waste and produce carbon nano
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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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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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intensive approach to maximise resource recovery and minimise contaminants transfer into the environment. This project will involve a literature review followed by experiments and modelling closely working
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predictive capability for post-TAVR outcomes against traditional metrics. iii) Incorporate the AI-based frailty evaluation into surgical risk scores for a comprehensive risk prediction. iv) Examine the model's
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stiffness by changing their composition and self-assembly process. The relationship between nanoparticle structure and stiffness will be determined both through experimental and modelling approaches. Finally
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modelling astrophysical phenomena. The PhD project will focus on developing theoretical methods to generate accurate data to meet this demand. The student will gain expertise in high-performance computational