899 postdoc-in-distributed-systems-and-controls-"Multiple" Fellowship positions in United Kingdom
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. stochastic optimisation) or model-free approaches, you will assess the techno-economics of low-cost large-scale net-zero hydrogen production from the whole systems perspective; you will work with multiple
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will have: A PhD* or equivalent qualification / experience in Electrical/Electronic Engineering, Signal Processing, or a closely related field. Proven experience in radar systems, radar signal processing
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distribution components and systems; Electric propulsions systems for land, sea and air; Wide bandgap solid-state protective devices. Sustainable Infrastructure Engineering & Maintenance: Construction technology
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will have: A PhD* or equivalent qualification / experience in Electrical/Electronic Engineering, Signal Processing, or a closely related field. Proven experience in radar systems, radar signal processing
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. Multiple translational clinical studies seek to address these themes through our collaborators in the Royal Marsden. Overall, our mission is to cure more patients with fewer immediate and long-term side
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SIT's mission is centred on nurturing industry-ready graduates who possess deep technical expertise and transferable skills to address future challenges. We collaborate with industry in our
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working will be considered. Contract type: Fixed term contract Fixed Term Period: Until 31 July 2026 Salary: Research Fellow: Full time starting salary is normally in the range of £37,337 to £44,906 per
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Organisation Cranfield University Faculty or Department Faculty of Engineering and Applied Sciences Based at Cranfield Campus, Cranfield, Bedfordshire Hours of work 37 hours per week, normally
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multiple long-term conditions navigate their social care needs. The position is full-time fixed-term until 01/04/2026. About you You will hold a PhD or equivalent professional qualification and experience
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quality control protocols. Beyond identifying a scientifically optimum observational network, you will contribute to shaping an observational strategy that is not only scientifically robust and resilient