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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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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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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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(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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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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, alignment, and characterisation of laser-based instrumentation. • Strong experience with computer programming, both for signal processing and experimental hardware control (e.g., C, C++, Python, MATLAB
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developing ideas for application of research outcomes. This post also be linked to research activities linked to the University’s research platforms such as the UNNC Sir Peter Mansfield MRI Centre. - To take
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Astronomy at the University of Nottingham. The post will involve taking a leading role in the assembly and commissioning of the new growth system and starting the growth and development of new oxide
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Sciences and the Faculty of Engineering. These are full-time (36.25 hours per week) posts offered on fixed-term contracts until 28th February 2027 and are available immediately. We pride ourselves
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of Nottingham, and with the core team at Queen Mary University as well as national partners. The post holder will be enthusiastically committed to conducting research that makes an impact and a team player. You