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methods and evidence synthesis is desirable. The postholder will work primarily on the following two projects: A study to identify the most pressing research priorities in digital care and develop a co
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and people who drop out prematurely, again using machine learning methods. Important outcomes from the project include developing and validating tools that can identify service users who require
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, the postholder needs to be able to identify literature and update their own knowledge, assessing the validity of the relevant literature and its contribution to the development of their own field. Determine novel
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significant advancements with the integration of Artificial Intelligence (AI) and Machine Learning (ML) techniques. This PhD research aims to explore the development and application of Process Induced Neural
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always a strong signal. Key Objectives of the project are: 1. Ultra-Fast Speeds: We aim to develop a wireless Physical Layer that can deliver data at unprecedented speeds in sub-THz radio frequency bands
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of scholarly editing: namely, the need to follow copy-text; to indicate divergence from it clearly; to be able to prepare collations [application form and interview]. Desirable criteria A strong interest in
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interactions to support the goals of future oscillation experiments. The research project will work at the intersection between particle physics and nuclear theory, involving the development and refinement
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depend on a sustainable and resilient resource supply chain to achieve the net zero goal. This project aims to develop a new approach to future proof energy and materials feedstock resilience
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their design, i.e., PWRs are operated only at around 75% of the predicted CHF limit, which hinders their economic viability. In this project, you will develop three-dimensional component-scale CFD approaches
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preliminary work to develop phage therapeutics targeting Vancomycin-Resistant-Enterococci (VRE), which are opportunistic pathogens causing both community and hospital-acquired infections. The specific