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and develop software which enhances the learning experience. Grow your professional skills using C#, JavaScript, continuous integration and automated deployment and get experience and training with
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systems, with emphasis on criteria for robustness, reliability, and stability. Topics of interest include the study of symmetries and equivariance and their implementation in deep neural networks
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), helping define clinical safety and data protection requirements, supporting stakeholder engagement, and working with a digital health technology commercial advisor to explore adoption and regulatory
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funders. It is essential that you have a PhD in computer science, or equivalent professional qualifications and experience; ideally your PhD or equivalent professional qualifications and experience will be
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different sources Share data, software and models including experimental and simulation data Deploy close-to-data computation and containerisation of data and software Use AI to explore data Make the results
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or nearing completion of a relevant PhD qualification. The title of Research Fellow will be applied upon successful completion of the PhD. Prior to the qualification being awarded the title of Senior Research
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students. All cohorts have now been recruited and are in the delivery phase of their PhDs until 2027. PhD projects are AI-focussed with a mix of hardware and software, focussing on the areas of Agent-based
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heterogeneous data types in an existing molecular visualization software. You will develop a practical and immediately useful application that enables integrative modelling of a macromolecular structure from
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Townsend, and gain exposure to a national network of academic and industry experts shaping the future of smart shipping and maritime decarbonisation. As a university, we are committed to creating
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Scalable Quantum Devices for the Future Quantum Internet. We seek an outstanding experimental physicist to join the Hybrid Quantum Networks Lab (HQNL ) as part of the UK’s Integrated Quantum