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for Embedded Machine Learning Applications," funded by the NorthEast Launchpad Competition. We are seeking a candidate with a strong background in hardware design and the implementation of machine learning
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Date: Friday 14 June 2024 Interview Date: Friday 28 June 2024 Reference: SCI142124 Applications are invited for a Research Associate/Fellow in Responsible Innovation in Health You will be working as a
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University of Edinburgh who are working to understand insulin resistance and design new therapeutic strategies to treat monogenic forms of diabetes. The successful candidate is likely to be an energetic
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Electronics, Machines and Drives Research Group (PEMC) at the University of Nottingham group and become a core member of a team researching power electronic converter design, control, construction and testing
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Partnership (KTP) project: "AI educational experiences through immersive technologies to improve corporate education". This is an exciting opportunity at the cutting edge of innovation in immersive learning
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Are you an ambitious researcher looking for your next challenge? Do you have significant experience in the design and construction of terahertz-frequency gas spectroscopy systems? Do you want
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Are you a power electronics engineer, RF electronics engineer, or an RF integrated circuit design engineer looking to apply your background to next generation power electronic conversion in pursuit
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towards the design of large scale multiplexing of control and readout drives based on cQED space-time modulation Metasurfaces. The candidate will collect and analyse experimental data, write up
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Work on an exciting new project on decarbonisation of food supply chains. The project is one of 10 projects funded by UK Research and Innovation (UPRI) as part of the new Place Based Impact
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approaches to the implementation of a proactive risk-assessment process; ii) support qualitative work with members of the public to co-design potential strategies for implementing proactive breast cancer risk