656 data-"https:" "https:" "https:" "https:" "https:" "https:" "Helmholtz Zentrum Dresden Rossendorf" PhD positions in United Kingdom
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challenges, drive innovation in wireless networks, and develop promising personal careers. More information on the project: https://cordis.europa.eu/project/id/101227604 ANCHOR consortium is looking for highly
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resilient. The PhD student will take the lead on the full research programme: designing studies, analysing data, developing models, and co-producing interventions with DfT and other partners. The PhD student
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Brunel University London was established in 1966 and is a leading multidisciplinary research-intensive technology university delivering economic, social and cultural benefits. For more information please
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above and our ‘Find a Supervisor’ page for information on our academic staff and their research interests. For guidance on writing a research proposal, please see: https://www.westminster.ac.uk/study
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PhD Studentships in Statistics, Data Science and Machine Learning Award Summary 100% home fees covered, and a minimum tax-free annual living allowance of £20,780 (2025/26 UKRI rate). Overview The
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information in the Information package for Marie Curie fellows in doctoral networks (https://op.europa.eu/s/z831 ). Selection process For the selection procedure, the SLICE consortium will appoint a
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PhD studentship in Trustworthy Multimodal AI under Lightweight and Data-Efficient Architectures Award Summary 100% fees covered, and a minimum tax-free annual living allowance of £20,780 (2025/26
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intelligence (AI), which integrates diverse information sources including tabular, imagery, linguistic and acoustic data, has shown transformative potential in domains such as healthcare, environmental
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-imaging modalities, such that molecular specific information can be obtained from microscopic biological samples and maps of cancer can be made. The probe will enable precise navigation into the body
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behavioural experimental design and statistical modelling; computer vision and AI techniques; explainable AI and human–machine comparison methods; and responsible innovation. The student will work closely with