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level of accuracy and attention to detail competent, conscientious and motivated with a methodical approach to work able to work in a team, and independently, being proactive and able to use initiative
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opportunities You’re not able to apply to a specific school internship opportunity, as this programme is designed to offer professional experience across a range of languages and levels and will depend
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, physiological stress measures (e.g. cortisol) or wearables (e.g. actigraphs) would similarly be desirable but not essential, as full training in all methods would be provided. Additional information
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-analysis methods, and an enthusiasm for working with large datasets, including datasets with linked healthcare data. The successful applicant will need to already have, or be eligible for, accreditation as
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that move the dial on the cultural changes that matter most to our community. You'll largely be supporting our events and activities programme, as well as core research culture initiatives. To give you a
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complex economic issues. You will hold a degree and postgraduate qualification in data science, mathematics, economics, or a related disciplinary field utilising statistics and advanced quantitative methods
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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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-Computer Interaction including ACM CHI, ACM UIST, ACM ToCHI, World Haptics, and ACM SIGGRAPH. About you We seek applications from enthusiastic individuals who have a background in Human-Computer Interaction
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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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About the role The neurotechnology research team at the University of Bath, led by Professor Damien Coyle, is developing new AI and immersive technologies to advance brain–computer interfaces (BCIs