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will involve the development of advanced data analytic and machine learning techniques applied to the processing of sensing signals obtained from advanced fibre-optic communication systems. You will be
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and Telecommunications Architectures for Tectonic and Infrastructure Characterisation - https://ecstatic-project.eu/ ) The role will involve the development of advanced data analytic and machine
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instrument parameters influence OrbiSIMS spectra. This is a unique opportunity to contribute to transformative research in analytical chemistry, biophysics, and structural biology, while developing your own
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researchers on 5G testbed operation, integration and performance testing. Job Requirements Bachelor’s, master's or Ph.D. in Electrical and Computer Engineering, Computer Science or related field. Solid
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instrument parameters influence OrbiSIMS spectra. This is a unique opportunity to contribute to transformative research in analytical chemistry, biophysics, and structural biology, while developing your own
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to completing, a PhD and have experience of relevant analytical techniques. Experience of analytical techniques including one or more of XRD, XRF, ICP-MS, XPS, U-Th-He geochronology or soil biota (meta)genomics
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, and code optimisation for future-proofing model updates Data Wrangling & Processing[practitioner level] - Handling, structuring, and cleaning data for efficient model use Quality Assurance & Analytical
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. Specific skills needed are experience in chemometrics, spectroscopy and product characterization techniques including NMR. Experience in advanced processing of analytical data would be desirable. The person
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motivated Research Fellow to lead work within the TREvolution project—an exciting DARE UK initiative focused on advancing Trusted Research Environments (TREs) for multi-site, AI-enabled health data analytics
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, data collection, and analysis. Industry or research lab experience is required. Strong analytical and conceptual abilities. Ability to work in a team as well as independently. Able to work under pressure