36 cloud-computing-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at University of Leeds in United Kingdom
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Are you keen to support innovation of UK weather forecasting? Do you have an established background in cloud physics research? Would you like to further your career in a world-leading atmospheric
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the surgical teams of tomorrow? Do you want to use your skills to help grow an exciting co-operative venture between the University and the NHS? The CADSIM (Cadaveric Surgical Simulation) Programme provides high
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Design or Human-Computer Interaction, and a developing record of either research, pedagogy, or commercial and industrial collaboration commensurate with the level of the post. You will have an in depth
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. The first is a large project on the central Congo peatlands, led by UNEP (United National Environment Programme). As part of this project you will lead the production of new maps of the central Congo
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Layout (OCFL) standard; A foundational cloud infrastructure for digital humanities research and teaching. You will utilise your skills, knowledge and experience to provide high quality and proactive
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programme grant “Total Body Nuclear Imaging for the Development of Nanotheranostics”. This Programme involves 15 co-investigators in a range of disciplines related to PET imaging strategies
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Project Link: Image guided intervention supported with mixed reality | Project Opportunities | PhD | University of Leeds Eligibility: UK and International Funding: School of Computer
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contribute to teaching students in the School’s undergraduate programme in Paediatric Dentistry. You will participate in the maintenance and further development of excellence in the quality of education within
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-intensive Universities? As a Research Fellow in Computational Climate Politics you will work on the UKRI FLF project “Understanding normative change to address the climate emergency ”. This is a 4+3 grant
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British Bachelors Honours degree (or equivalent) in an appropriate discipline. Subject Area Mechanical Engineering, Computer Science & IT, Data Analytics Keywords Optimisation, adaptive sampling, corrosion