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Research Assistant in Designing and Modelling IoT Enabled Industrial WSNs (REDEPLOYMENT OPPORTUNITY)
skills and experience to work under the supervision of Dr Edmond Nurellari, Associate Professor/ Programme Leader in Electronic Engineering. You will primarily work on the design and development of a low
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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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on the design and development of a low-power smart sensor system for cold storage food warehouses. You will report directly to Dr Edmond Nurellari in the School of Engineering and will work closely with
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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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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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framework will then be used to validate and guide the proposed minimally invasive implant design (being developed at Imperial College) within a metastatic vertebra over a range of loading scenarios
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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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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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constructing and operating multiple test rigs dedicated to liquid and vapor hydrogen systems. This includes the facets of storage, pumping, venting, and all associated subsystems specifically designed
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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