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Are you excited about the future of wearable healthcare? Join us to merge microfluidics and contact lens technology, developing smart lenses that enable controlled tear fluid collection and analysis
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Phd Studentship in Computer Science: Empirical Security Assessment of AI Decision Engines in Cyber-Physical Systems Award Summary 100% home fees covered, and a minimum tax-free annual living
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deep learning, computer vision, medical image analysis or unsupervised learning is an advantage. English language skills, both written and spoken Qualification requirements PhD stipends are allocated
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Applicants should hold, or expect to obtain, an undergraduate and preferably a postgraduate qualification in computer science, artificial intelligence, cyber security, data science, or a closely related
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of real strategic importance. You’ll also deliver undergraduate and postgraduate teaching in cyber security, developing valuable academic experience alongside your research. Objectives This project
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inconsistencies between data sources, and improve knowledge of underground water networks. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR8188-SALBEN-004/Default.aspx Requirements Research
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competition with all other PhD applications. For Chinese candidates: The China Scholarship Council (CSC) Scholarship: https://www.csc.edu.cn/chuguo China Scholarship Council (CSC) PhD Scholarships Programme at
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25th September 2026 Languages English English English The Department of Marine Technology has a vacancy for a PhD Candidate in Deep Learning Enhanced FSI analysis of Modular Floating Structures PhD
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We are seeking a full time Senior Researcher to join Technical Safety and Governance (TSG) lab at the Department of Engineering Science in central Oxford. The post is funded by the Oxford Martin AI
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strong asset.•Experience in the analysis of high-dimensional biological data (single-cell or spatial transcriptomics, digital pathology or biomedical imaging) is an advantage.•Comfortable working on Linux