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. The Research Associate/Fellow will be a human computer interaction (HCI) specialist in qualitative (interview) data collection, analysis, and sensemaking. They should also have a broad understanding of
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of the literature relating to ‘Blairism’ and to the study of legacy effects in policy analyses A high level of competency with time series modelling OR age-period- cohort modelling OR structural equation modelling A
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for an enthusiastic individual with a keen interest (or prior experience) in performing neurosurgery and making neural recordings in rodents. The role is suited to candidates looking to gain experience in advanced
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deliver research from fundamental to high TRL. The successful candidate will contribute to several projects by managing a growing research team while conducting their own investigations. As a senior
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(http://www.nottingham.ac.uk/utc), in the Faculty of Engineering. The centre boasts an excellent international reputation for high-quality research funded by EPSRC, IUK, and the EU. What we offer: A world
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entitled “White Matter Computation: Utilising axonal delays to sculpt network attractors”. The central aim of the project is to determine how dynamic patterns of neural activity evolve in a complex network
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opportunity to join one of the world’s leading metrology research groups and contribute to high-value research into optical and quantum metrology. The outcome of this project will contribute to a technology
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acceptable but will need to be demonstrated through certified evidence of substantial training and experience that has qualified candidates to plan, direct and perform an independent research programme with
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, direct and perform an independent research programme with substantial deliverables. Ideal candidates will also have expertise in sustainable cities and communities, human-environment interface and the
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of the Researcher Development Concordat (www.vitae.ac.uk/policy/concordat). • Opportunities to produce high-quality publications. • Development of multidisciplinary skills in Raman spectroscopy, machine lerning, and