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Field
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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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. Develop and troubleshoot embedded hardware and software for charger communication and control. Work on energy storage integration for marine charging infrastructure. Collaborate with industry partners and
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of faculty, students and alumni who are shaping the future of AI, Data Science and Computing. Within CCDS, this project will be conducted in the Hardware and Embedded Systems Laboratory (HESL). This lab aims
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and thermal-aware design techniques for embedded systems. Contribute to research outputs and support timely completion of project milestones. Job Requirements: Preferably PhD in Computer Engineering
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the development and translation of rehabilitation technologies is strongly preferred. Prior experience with embedded systems or biomechanical evaluation in wearable devices is desired. Special Instructions Contact
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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