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to conventional lab-based XPS instruments, to make it a widely accessible research tool for academia and industry. You will have responsibility for adapting ultrahigh vacuum equipment to accommodate the reaction
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deploy models symbiotically with experimental researchers to optimise design and manufacture of Li air electrodes and cells. This will include image-based modelling of electrodes, and finite-element
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deploy models symbiotically with experimental researchers to optimise design and manufacture of Li air electrodes and cells. This will include image-based modelling of electrodes, and finite-element
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emissions, and providing industry-ready solutions for ammonia combustion. Working within the EPSRC project, they will focus on clean combustion challenges, analysing and interpreting research findings
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inland, short-sea, and high-seas shipping routes. The project seeks to deliver industry-relevant tools that enable optimal design and operation of greener vessels, backed by real-world demonstrations
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biomedical data. Programming using one or more of the following: Python, R, Javascript. Clinical informatics experience in large scale academic projects and/or industry environment. Strong grasp of study
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, and materials science. The successful candidate will have: PhD in biochemistry, molecular biology, protein sciences or a related discipline. Additional research experience in industry or a post-doctoral
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base, the partnership will bring together the University of Oxford’s expertise in statistics, mathematics, engineering and AI with industry scientists. Within the partnership, small research teams will
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SIT's mission is centred on nurturing industry-ready graduates who possess deep technical expertise and transferable skills to address future challenges. We collaborate with industry in our
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be appointed as Research Assistant. Expert in programming on supercomputers Expert in computational fluid dynamics Experience collaborating with industry partners and diverse research teams Creative