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the sensory and functional qualities of natural seafood. This PhD project is expected to develop technology for cultivated seafood, by selecting the optimal cell source, developing a continuous cell line and
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Your mission is to develop multi-modal AI methods to integrate MRI, echocardiography, ECG, longitudinal EHRs, and other clinical modalities. By disentangling technical noise, physiological variability
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: Developing a research plan, taking into consideration ethics and data management procedures of the Faculty; Literature review of published sources including Italian or Turkish language, as relevant; Archival
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to protect AI models against data leakage during inter-departmental information sharing. With the National Police heavily relying on sensitive data exchanges, this research will develop secure machine learning
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, workshops, and collaborative writing projects. The tasks include: Developing a research plan, taking into consideration ethics and data management procedures of the Faculty; Literature review of published
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Sheva, Israel) and Prof. Dr. Daniele Leonori (RWTH Aachen, Germany). The CATALOOP network aims at the development of powerful and readily applicable workflows for data-driven development
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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 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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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