359 computer-programmer-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" Fellowship positions in United Kingdom
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in the UK. We pride ourselves on delivering high-quality teaching and diverse, real-world research. We specialise in biosciences, chemistry, computing and technology, as well as engineering, forensic
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organising of the research programme and/or specific research project, including training courses Co-ordinate own work with others to avoid conflict or duplication of effort Knowledge of the protected
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of Oxford (or be willing to relocate). During peak periods, some longer hours may be required and some working across multiple time zones due to the global nature of the programme. This is a fixed term
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to build ‘design-build-test-learn’ pipeline through computational design and experimental validation. About you PhD (or in the final stages of PhD submission) in computational biology, evolutionary genomics
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, relevant experience in computer-based statistical analysis and presentation of results, demonstrated proficiency in a coding language used for data analysis, such as Python or R, proof of previous data
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for: Conducting research and development on AI-based solutions for automated defect inspection and condition assessment of train components by designing and developing deep learning, computer vision, and machine
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with direct industrial impact. Responsibilities The successful candidate will: Conduct cutting-edge research in Computer Vision, Video Understanding, and Multimodal AI. Design AI models for concept
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software developers, this role focuses on integrating advanced computational methods with scalable cloud platforms to streamline data processing, analysis, and sharing. The successful candidate will have a
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Contextual Safeguarding Programme and a team that has been at the forefront of reforming safeguarding systems to promote the welfare of young people in places where they spend their time. The GCCS is an
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Background We are seeking an outstanding Postdoctoral Research Fellow to join an ambitious research programme addressing a major challenge in mitochondrial genome engineering: the efficient and reliable