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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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– In the evaluation of the interview, candidates' performance will be assessed according to the following weights and criteria: - Criterion 1: Proficiency in developing web applications - Criterion 2
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and aims to develop a novel electromembrane process of ion separation for recovery of rare earth elements and removal of micropollutants from water. The central scientific question of the TIES project
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replicate 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
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superconductivity, mesoscopic phenomena and nanotechnology (for more info see http://ekmf.fysik.su.se ). The current project is focused on the development of future superconducting quantum electronics and
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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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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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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
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develop multi-modal AI methods to integrate MRI, echocardiography, ECG, longitudinal EHRs, and other clinical modalities. By disentangling technical noise, physiological variability, and disease-specific