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innovation across semiconductor technologies, novel microchip designs and system architectures – leading to faster, cheaper, greener and overall, more power-efficient electronics. As one of nine UKRI funded AI
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social science or a relevant discipline with a strong background in mixed methods research, or equivalent qualifications High level analytical capability Ability to communicate complex information clearly
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generation technologies, energy storage systems, and power electronics for marine applications, including hydrogen and ammonia propulsion systems; strong understanding of energy systems dynamics, renewable
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Revolution Industrialisation Centre at the University of Nottingham and contribute to the Power Electronics, Machines and Drives Research Group (PEMC). Your research will focus on electrical machines, drives
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goal of developing new approaches towards CO2 -free production of speciality chemicals. Candidates should have a demonstrated ability to work in technology-oriented chemistry projects and the flexibility
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, organised researcher who can evidence: PhD or equivalent, in a relevant branch of mathematics, or near to completion of a PhD. Expert knowledge of algebraic geometry. Proven ability to produce research
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and analysis. Proficiency in a wide range of analytical chemistry techniques and methodologies. Ability to travel or drive to various locations for in situ work as required. Excellent teamwork and
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. Ability to communicate complex information clearly. Fluency in relevant models, techniques or methods and ability to contribute to developing new ones. Skilled in both qualitative research methods and in
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practical background is essential and you should have good skills in computer aided design and mechanical fabrication techniques, as well as the ability to critically assess prototype designs based on testing
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To model and carry out computer-based simulations of power ultrasound transducers using software such as COMSOL, ANSYS, etc College / Directorate College of Engineering, Design & Physical Sciences