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regional wealth. Duties will include: Collecting and analysing data using a range of qualitative and quantitative methods (including interviews, participatory workshops and financial modelling) Developing
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Online Courses). About you You will have experience in underwater passive acoustics and signal processing. With a good knowledge of ocean environments, you will also have: A PhD degree in a STEM discipline
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quantitative methods to analyse large-scale datasets and generate insights that influence policy globally. Key responsibilities include: Leading international research: Conducting high-quality studies with a
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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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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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, 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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to be able to work independently. As a Grade 7 Research Associate you will hold a PhD in Computer Science, Human-Computer Interaction, Haptics, or other relevant field and be able to demonstrate a
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methods and student engagement. Further information If you have any questions or you would like to talk informally about the role, please contact Professor Eamonn O’Neill, maseon@bath.ac.uk , Head of
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operation, aligned with financial and operational incentives. The ideal candidate will have: A PhD in Computer Science or a related field Experience in developing and evaluating reinforcement learning systems
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About the role This is a four-year Advanced Apprenticeship. While working at the University of Bath, the successful applicant will receive support for a formal Level 4 or Level 6 day-release