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, Software Engineering, Networks, or other related areas, and be proficient in software development and systems administration. The successful applicant will be integrated in a rapidly growing research
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directly at the edge. The postholder will investigate novel hardware–software co‑design approaches enabling AI‑driven video processing on energy‑harvesting devices under extreme power constraints
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the Light Microscopy Facility (https://www.sheffield.ac.uk/lmf). Wild-type and mutant lines will be crossed to transgenic lines of interest for live fluorescence imaging. There will also be the opportunity
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Covid inquiry, using NVIVO software. 4. Develop and enhance your research profile and reputation and that of The University of Glasgow/School/Research Group, including contributing
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across various teams and projects, and excellent knowledge of mixed-methods methodologies and common software (Nvivo, STATA/SPSS, Covidence). Due to the sensitive nature of the research, the successful
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& Expertise The ideal candidate will have a strong technical background in one or more of the following areas: Essential Skills Strong knowledge of embedded systems, embedded electronics, and software
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. 4. System Prototyping & Software Development Contribute to the development of the AI Pathologist prototype, including UI/UX, backend integration, and workflow automation. Support deployment of models