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density, efficiency, breakdown strength, and operating temperature range from -55 to 250°C. The programme will employ advanced structural characterisation tools and comprehensive functional property
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collaboration that uses AI algorithms to recommend and coordinate experiments across distributed laboratories. Your work will focus on the synthesis and characterisation of AI-recommended conjugated materials
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Researcher (R1) Application Deadline 11 Sep 2026 - 00:00 (UTC) Country United Kingdom Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a
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computational modelling of magnetic field distributions and sensor performance, materials and device engineering (spin defect characterisation, optically detected magnetic resonance (ODMR), sensor packaging and
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Research Fellow role embedded within a major externally funded research programme in soil science. You will lead the delivery of synchrotron and X-ray imaging components of a UKRI Future Leaders Fellowship
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development programmes. The fellowship is tenable for one year. On an exception basis, a two-year programme may be supported. Service Commitment One year for every year of sponsorship. Application Process
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in leading journals, and contribute to its distribution at national and international meetings. You will be an organised researcher who can evidence: · A PhD, or equivalent, in mathematics or a
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microscopy, spectroscopy, or related areas to contribute to a high-impact project with clear relevance to minimally invasive dentistry. Role Summary The wider programme funded by EPSRC (“Elucidating
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diverse team of faculty members, engineers, and industry partners, including renowned researchers at the College of Computing and Data Science (CCDS) at NTU. Technical skills, natural curiosity, versatility
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of Computing and Data Science (CCDS) at NTU. Technical skills, natural curiosity, versatility, and enthusiasm are highly desired traits that will enable success in this fast-paced environment. Key