20 condition-monitoring-machine-learning Fellowship positions at University of Nottingham
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individual and collaborative research in the area of Power Electronic, Machine and Control. The role holder will be expected to conduct and lead high-caliber, impactful research at the forefront of Power
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developing ideas for application of research outcomes. This post also be linked to research activities linked to the Faculty’s research platforms such as the Power Electronics, Machines and Control Research
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Bezares (numerical relativity), Dr Stephen Green (gravitational waves, data analysis including machine learning, black holes), Dr Laura Sberna (gravitational waves, black holes, and environmental effects
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the lead on, plan, develop and conduct individual and/or collaborative research objectives, projects and proposals either as an individual or as part of a broader programme. - To acquire, analyse
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repair robotic systems. Beyond these core research interests, the UTC also has expertise in: the design of special-purpose manufacturing robotics, non-conventional machining processes (especially in
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this dataset via three-colour confocal, as well as total internal reflection fluorescence (TIRF) microscopy and fluorescence correlation spectroscopy (FCS) to specifically monitor GPCR–arrestin interaction
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contribution to the direction of research programmes in the Power Electronics, Machines and Control (PEMC) Research Institute in the Faculty of Engineering. You will pursue a research plan in developing
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technologies and make a key contribution to the direction of research programmes in the Power Electronics, Machines and Control (PEMC) Research Institute in the Faculty of Engineering. You will pursue a research
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reactions and the conditions under which photocatalysts are activated or deactivated. This collaboration with one of the world’s leading research facilities will allow us to precisely determine atomic
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: - Have experience of using eye-tracking and/or psychophysiological methods (e.g., EEG/fEMG/EDA/heart rate monitoring) to study written language comprehension, including stimuli development, experimental