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problematic for both clinicians and patients. The PhD provides an opportunity to develop novel micro-electronic tags for accurate excision of breast cancer. The research will involve device design and
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motivated, creative, and curious PhD candidate excited to bridge disciplines and co-develop this research. You will join a collaborative and internationally active Regenerative Engineering Group, with scope
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industrial practice relies heavily on empirical optimisation, leading to inefficiencies in energy use and impurity removal. This PhD project proposes to develop a Coupled Computational Fluid Dynamics-Discrete
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computer simulations by developing fundamentally innovative and advanced protection strategies. To enhance the reliability and safety of low-voltage networks with a high penetration of power-electronic
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-grade experience that employers value. The journey You'll develop machine-readable privacy rules, build core functionalities that audit and explain data-sharing decisions, prototype agent systems showing
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to develop cutting-edge quantitative and applied environmental skills with real-world impact. It is a fully funded NERC CENTA PhD Studentship for 3.5 years with CASE support from BASF. Successful home-fees
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modelling frameworks to provide detailed characterisations of design conditions for large scale turbine arrays. The developed models and understanding will be used alongside standard flow models and as input
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part of such exploration, the procurement or development of relevant workloads that are representative of real-world behaviours impacted by the design decisions of the networks under study should also be
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digital health company, the research project will develop and evaluate an AI enabled rehabilitation model that identifies individual needs and connects patients to the most appropriate exercise and support
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Julich’s power linear plasma devices and heat flux facilities. This study will focus on developing an engineering understanding of the effect of fusion-relevant plasma exposure and extreme heat loads