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that induce emotional states in human participants Run experiments involving human participants, from recruitment to data collection of mood changes and psychophysiological indicators of arousal Ensure
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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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, 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
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analytical skills. Track record of publications in highly ranked journals and conferences. Proficiency in the use of full-wave electromagnetic computer simulation software, including CST Microwave Studio
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the largest academic research institute in Europe specialising in all aspects of ICT (Information and Communication Technologies). It is home to over 200 researchers with expertise in all communication
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that integrates glycoproteomics, glycomics, and immunological data. The role involves developing novel methods for immunogen glycosylation and establishing new experimental pipelines. You’ll publish in leading
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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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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 analysis, where knowledge of at least one of these disciplines is required. You will join a high-impact initiative to develop mechanistic, predictive frameworks for interpreting spatial omics data