27 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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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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10 minutes and machine learning algorithms to deliver quantitative diagnosis without destroying the samples. The AF-Raman prototype will be integrated and tested in the operating theatre
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(particularly under extreme conditions), and/or the use of machine learning for solid mechanics/stress analysis problems are encouraged to apply. The job description presented here is deliberately broad due
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quantitative and digital methods, such as descriptive/inferential statistics, data modelling, machine learning (ML), experimental prototyping and technology ideation. A significant degree of autonomy is required
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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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will work with academics in dementia and neurodegenetative conditions, which may include MS or Parkinson’s Disease to design and carry out portfolio studies and support rapid responses to requests
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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, interpret
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., manipulation/surveillance) Excellent communication, presentation, and publishing skills to aid effective interaction with multidisciplinary, international academic and industrial partners It is a condition of