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Engineering, Materials Science or Physics or extensive R&D experience in industry. Experience with 3D CAD software such as Creo or SolidWorks and technical drafting. Experience in experimental methods and data
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methods to translate electrophysiological signals into control signals for brain–computer interface (BCI) technologies. These advances will be trialled at scale with end-users, driving the development
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About the role This Research Associate position is in development and application of chemical profiling methods in environmental samples utilising state-of-the-art hyphenated chromatography and mass
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Behaviour research group The successful candidate will join an active research group focused on the development and application of mathematical methods to complex systems, with a particular emphasis on
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The ideal candidate will have experience of conducting human randomised controlled trials using methods of assessing glucose metabolism such as blood sampling and processing and stable isotope tracers
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-scale datasets such as ICCS, using statistical techniques such as Item Response Theory (IRT) and Structural Equation Modelling (SEM) with software including R, Mplus, and Python. Contributing to academic
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candidate will join Prob-L@B, a leading research group consisting of 12 permanent academic staff, 3 postdocs and around 12 PhD students. There are weekly seminars during term-time and regular reading groups
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will suit you if you Hold a PhD degree in a subject area of direct relevance to the project. Have previous experience in one or more of the following: modelling, design, control or prototyping of robotic
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of their course completion date and will be promoted to Research Associate once their PhD has been awarded. A PhD is an essential requirement for this role. We would also like someone with expertise in analysing
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innovation in sustainability and climate change. The Institute currently involves around 80 academics, a cohort of 70 PhD students, and a research income of more than £25M. We are seeking to appoint