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with a wider interdisciplinary research team Participate in wider networks, including the Adult Social Care Cluster and DEMCOMM programme events Main Duties The responsibilities may include some but not
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software development is desirable. A PhD, a strong publication record, and excellent technical communication, reporting, and presentation skills are required. Due to the nature of this role, you will be
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The emergence of edge AI systems—AI deployed on resource-constrained, often battery-powered, devices at the edge of the network—presents critical security challenges. These systems are increasingly
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to monitor oceanic CO2 uptake with improved confidence. Any future observational network utilises a range of instrument/sensor technologies, deployed on different platforms, and measuring multiple variables
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skills and experience: Essential criteria PhD qualified in relevant subject area Experience working with large datasets e.g. CPRD or similar Experience with relevant statistical software (STATA or R
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), helping define clinical safety and data protection requirements, supporting stakeholder engagement, and working with a digital health technology commercial advisor to explore adoption and regulatory
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working will be considered. Contract type: Permanent Salary: Full time starting salary is normally in the range of £37,337 to £44,906 per annum, with potential progression up to £51,298 per annum; If PhD is
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funders. It is essential that you have a PhD in computer science, or equivalent professional qualifications and experience; ideally your PhD or equivalent professional qualifications and experience will be
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, and spinout activities, including technical planning and delivery. • Lead the development of hardware-software integration workflows for monitoring, diagnostics, and control of battery systems
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or nearing completion of a relevant PhD qualification. The title of Research Fellow will be applied upon successful completion of the PhD. Prior to the qualification being awarded the title of Senior Research