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Field
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GNSS alone leaves systems vulnerable to interference, spoofing, or outages, particularly in dense urban environments. The development of 6G networks with integrated TN and NTN infrastructures provides
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of how alternative land management practices impact greenhouse-gas fluxes through the development and application of sophisticated modelling tools. The work will involve model development on the Cambridge
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trust in digital communications and readily bypass conventional security controls. This PhD research proposes to design, develop, and validate a novel, explainable, multi-modal detection framework. By
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or potential damage to the rail surface. The Research: This project aims to transform this process by developing a novel machine learning (ML) tool and utilising cutting-edge machine learning algorithms
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Project Title: Integrating pharmacogenomics to support safe and appropriate psychotropic prescribing: a multi-methods approach to exploring the role of mental health pharmacists and developing
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relevant bioinformatics software packages). Develop models to identify transmission routes and predict AMR. Analyse data, interpret results and compile findings into detailed reports for regular project team
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range of reactivity, and particularly C-C bond formation. Directed evolution approaches will then be applied to guide the selectivity of the new enzymes towards target molecules and drug fragments
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running industry-funded project. The project focuses on the development of functional thin films using High Power Impulse Magnetron Sputtering We offer a diverse range of benefits and opportunities
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inequalities which arise from economic policies. You will have the opportunity to work with a multidisciplinary team of geographers, public health experts and policy partners to develop computational models and
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We are a world class research-intensive university. We deliver teaching and learning of the highest quality. We play a leading role in economic, social and cultural development of the North East of