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prototype (MIDAS) that integrates AI-based modules with optimisation engines to support low-carbon, cost-optimal datacentre microgrid design. To manage prototyping of the software platform - overseeing build
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: PhD or equivalent degree in Robotics, Computer Science, Machine Learning, AI, Control Engineering, or a related field. Excellent programming skills and experience with related tools and software. A
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About the Role The ATLAS L1Calo/Global upgrade project is primarily a firmware development based on a common multipurpose hardware module. It requires a lot of software development in a wide range
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use computational approaches to mine natural biodiversity in gene sequences to identify engineering targets to increase lipid content and enhance the water use efficiency. The project will make use
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dilution refrigerators, measurement electronics and software, and fabrication processes all in place to achieve top scientific results without the need to build tools for years. Responsible and meaningful
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focus on advanced materials, additive manufacturing and sustainable development, including surface engineering, metamaterials and materials for ‘green' energy. We will address Greater Manchester's need
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to useful implementation. We have pathways to take new medical devices and techniques through to pre-clinical testing and early in-human testing, with full support for regulatory approval, to perform patient
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delivering a wide range of outcomes for the Wellcome-funded international project CYCLONE, including peer-reviewed publications, novel software tools, university seminars, presentations at meetings/workshops
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require close cooperation with other research groups. The position requires PhD in computer science, engineering, or a related field Excellent research track record in AI and sustainability or cloud
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to support any such activity. Please note that we are also advertising for a Research Software Engineer and there are 2 posts available in total at this level. For informal enquiries and more information about