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a focus on meat and dairy promotion. In partnership with Adfree Cities, the student will investigate: (1) the link between advertising exposure and mental health using large-scale secondary data and
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, machine learning, and information-theoretic approaches to achieve robust, non-intrusive security for the ever-expanding IoT landscape. Feature Engineering for Encrypted Traffic: It is crucial to identify
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; EPSRC Centre for Doctoral Training in Green Industrial Futures | Bath, England | United Kingdom | 2 months ago
to identify opportunities for British Sugar as a case study which can then be applied across a wide range of dispersed industrial sites. These sites are those that might not benefit from large infrastructure
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; EPSRC Centre for Doctoral Training in Green Industrial Futures | Edinburgh, Scotland | United Kingdom | 2 months ago
of an accurate and generalisable density Equation of State model (EoS). This is especially challenging near the critical point and the Widom line, where there are large gradients in fluid properties. This project
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their primary function is to generate renewable energy (at the cost of covering large areas with solar panels), there is growing recognition that solar parks also offer a unique opportunity to restore and enhance
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large upfront costs, but with ongoing cost savings once investments have been made. The liability to make these investments is tied to ownership of expensive assets (residential property). Other issues
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thermodynamically. Performance design optimization and advanced performance simulation methods will be investigated, and corresponding computer software will be developed. The research will contribute
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power systems. You will join a large group of postgraduate students in the Faculty of Engineering, working on many aspects of solar energy and zero carbon technologies. The team of potential PhD
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. Background and aims: As we move towards the future of large communication networks and remote sensing, applications such as 6G communications will require higher data rates, wider bandwidth, and stronger
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., StableDiffusion) and large language models (LLMs) based on the transformer architecture [6] (e.g., ChatGPT). In general, the above generative models need considerable amount of computational resources in terms