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filled in the Faculty of Social Sciences and Business Studies. In addition to traditional legal research, the doctoral programme aims to develop interdisciplinary and internationally compliant research
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on novel protein-RNA interaction rules to explore their functions in environmental adaptation and development. These positions are multi-year and funded by the ERC. The Lab studies RNA/protein assemblies
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entitled “Development of a global diagnostic ecosystem for detecting and monitoring emergency-prone pathogens across species and in a unified way”, Acronym: UniHealth (https://unihealth-project.eu/ ) PhD
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on the following tasks with either with a stronger model-development or application focus: Design knowledge-graph-augmented transformers and retrieval-augmented generation (RAG) pipelines that enable
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Announcing 10 PhD Studentships within the Royal Holloway Social Purpose Centre for Doctoral Training
for the Everyday). We have an excellent Researcher Development programme, and wider institutional postgraduate training. We are committed to supporting a strong and growing PGR community, including PGR-Led
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internationally recognized research centre and gain valuable research experience at a top-ranked European university. As a PhD candidate, you will develop your own research project in consultation with
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of the web as a decentralized media platform, extending through to our contemporary moment, as news industries wrestle with the role of AI technologies. You will be asked to: Develop your own research project
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an ARC Linkage Project focused on developing an autonomous system for detecting and quantifying structural damage in infrastructures (e.g., bridges, grain silos) using computer vision, digital twins, and
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they are interconnected, and how they can change with an altering climate and with human activity. PhD researchers participate in ongoing research comprising field observations, method development, experiments and
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candidate will be responsible for the full range of activities related to the development, testing, and evaluation of the learning models. They will also receive support from LOA experts for the execution