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relativistic quantum information (RQI). This highly challenging PhD experience will offer you the chance to work on world-class research combining quantum information theory with key aspects of quantum field
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unique ovarian cancer animal model and blood samples from multiple human clinical trials. The PhD candidate: The preferred PhD candidate will have done an Honours or Masters in either immunology, oncology
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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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observational research (e.g., simulations) and/or lab or field experiments Experience with the analysis (e.g., sequential analysis, multilevel modelling) and interpretation (e.g., conference presentation
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are recruiting four PhD students for the following Projects: Project 1: Unifying on-farm data and crop models to enhance tactical crop decisions Summary: Despite the increasing availability of on-farm data and
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interested in connecting spatial and spectral information to understand complex materials systems at the molecular level with machine learning. PhD Student A will work with tumour sections to develop multiple
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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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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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, causing poor rates of asymmetric redox reactions or poor ability to detect chiral analytes. Chirality is as powerful as it is elusive: we do not have accurate models to explain and predict, especially
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to the fields of AI, biomechanics, and applied sports science, this project offers a unique opportunity for PhD candidates to engage in interdisciplinary research with real-world impact. The project also includes