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Community Catapult Partner (Darnall Wellbeing in Sheffield) as an embedded researcher, leading and taking forward an ambitious programme of qualitative community research and engagement based
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local authority staff and wider partners in building their quantitative research capacity and capabilities. The Embedded Researcher(quantitative) post will form an integral part of the workstreams, with a
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includes embedded and sensing systems, tinyML, data science, AI and software development. Responsibilities encompass active involvement in the ProSensing project's development activities, such as AI on Edge
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highly motivated and technically proficient Research Fellow in Control and Embedded Systems Engineering to support the development and deployment of intelligent, safety-enhanced BMS technologies within a
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compliance with EV charging communication protocols (e.g., ISO 15118, DIN 70121). Conduct EMI noise analysis and mitigation for high-power DC charging systems. Develop and troubleshoot embedded hardware and
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decision making, while you will be capable to apply machine learning and computational algorithms of social choice. This post is associated with following projects: Embedding EDI in the Distribution
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embedded AI systems. They will demonstrate a strong track record of high-quality research in machine learning/AI and/or embedded systems, evidenced by publications in leading conferences and journals
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of myeloma trials – both academic and commercial – embedded within Oxford University Hospitals NHS Foundation Trust. As a Clinical Research Fellow, you will contribute actively to the conduct, and delivery
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embedded research role, working on community-led research agendas with an emphasis on co-creation and lived experience supporting QCAP’s role within the project across the Belfast Catapult site and a co
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to publications and future research bids The post-holder will join the School of Medicine’s vibrant research environment and be embedded within the IMH, Jubilee Campus. The LEND team includes experienced