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to provide support on the application and interview process. Discover our benefits, visit Your Benefits website. We welcome applications from UK, Europe and worldwide and aim to make your move to the UK as
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for the experimental approaches to morpho-phonological representation and processing, focusing on neurolinguistic and psycholinguistic experimental research on the comprehension of words and phrases. What We Offer As an
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. This will include participant recruitment and communication with families, preparing and running testing sessions, managing and processing data, and contributing to protocol development and refinement. You
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nanotubes, enables the exploration of thermodynamic processes at the nanoscale. Carbon nanotubes serve as exceptional nanomechanical resonators due to their low mass, high stiffness, and quality factor
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document will provide information of what criteria will be assessed at each stage of the recruitment process. Further Information We pride ourselves on being inclusive and welcoming. We embrace diversity and
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of processes through real-time data acquisition and analytics; component fabrication (additive manufacturing); characterisation (e.g. SEM, EDX, XRD, XPS, Raman spectroscopy, nanoindentation, AFM, etc.); and
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on process development, electrode manufacture and performance assessment, but depending on the skills of the successful applicant, may also involve some aspects of modelling or data science. The post is funded
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the Nextrode consortium including industrial partners. The work will be primarily experimental focused on process development, electrode manufacture and performance assessment, but depending on the skills
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project is to develop a series of surrogate models focusing notably on Physics-Informed Neural Networks to emulate the process of sediment deposition, diagenesis, and potentially fracturing, working closely
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recently developed in a commercial 65 nm CMOS imaging process by a large international consortium of engineers and scientists for the ALICE ITS3 upgrade and the future experiments, ePIC@EIC and ALICE3@LHC