600 data-"https:" "https:" "https:" "https:" "https:" "https:" "U.S" Fellowship positions in United Kingdom
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- Technical University of Denmark
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- University of Cumbria;
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Field
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team members to examine patients’ responses by analysing EEG and behavioural data. Candidates are expected to hold a medical qualification (MBBS or equivalent) and be fully registered with the GMC, have
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peatlands for use by policy makers to define areas of peatland for conservation and community use. The mapping will make use of extensive ground data collected over the past decade and publicly-available
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from developing the conceptual frameworks and instruments to data collection and analysis. You will further support and engage with academic and non-academic partners in the UK and Europe in conducting
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cutting-edge data from new ground and space-based facilities to address fundamental questions in galaxy evolution? Then this might be the right opportunity for you. The Astronomy Group within the School
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research on this topic. Projects have been designed to generate tangible outputs such as published papers, software or data sets within a 12-month period. The fellowship should not be viewed as an
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will also work alongside other team members to examine patients’ responses by analysing EEG and behavioural data. Candidates are expected to hold a medical qualification (MBBS or equivalent) and be fully
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-quality, repeatable data. Develop and apply signal processing workflows for weak transient signals, long-term monitoring, feature extraction and statistical analysis. Support sound playback/stimulation
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) to provide benchmark data as well as the quantum technology gravity gradient sensor. This involves close liaison with colleagues across campus, especially as part of QuSIT, partner institutions, project
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organisations to plan and undertake qualitative fieldwork to understand perspectives of groups experiencing digital inequalities. You will coordinate evaluation activities, lead data collection and data analysis
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leadership. Responsibilities include coordinating major research programmes and partnerships, supporting training initiatives such as the Oxford EPSRC Centre for Doctoral Training in Health Data Science