45 computer-security "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" "UCL" "UCL" research jobs at King's College London
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. Researchers benefit from state-of-the-art optics and prototyping facilities, high-performance computing for AI-driven analysis, and direct access to clinical environments. This multidisciplinary ecosystem
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, Biomedical Sciences, Biochemistry, Immunology, Microbiology, Molecular biology) to support a multidisciplinary research programme investigating various aspects of antiviral innate immunity. The successful
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neuroscience or developmental biology or equivalent Excellent skills in mRNA techniques, especially HCR labelling Confocal microscopy skills Computational experience, including coding Experience in using
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About us The Faculty of Natural, Mathematical & Engineering Sciences (NMES) comprises the Departments of Chemistry, Informatics, Mathematics, Physics. The Department of Mathematics has a
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conferences in areas of machine learning, computer vision, and Large Language Models and high-impact specialist peer reviewed academic journals. • Ability to conduct interdisciplinary research activities
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discussion with their supervisor. We anticipate that the Fellow will Identify sources of funding and will contribute to securing those funds. The Fellow will be expected to write up their research project
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laboratory equipment and manage inventory of reagents and supplies. Ensure compliance with laboratory safety protocols and guidelines. Provide training and support to junior staff and students. Contribute to a
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: Essential criteria Be enrolled in or hold a first degree in biomedical engineering, robotics, or relevant discipline. Possess sufficient specialist knowledge in computer aided design, systems integration, and
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-design workshops, interviews, requirements gathering, data curation/annotation activities, and contribute to the design and evaluation of human–computer interface prototypes through design sprints and
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, and with expertise in quantitative and qualitative methods, to develop a training and capacity-building programme and lead research projects working on large datasets. On training and capacity-building