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of future aircraft electric propulsion drive systems. Candidates should hold or be shortly due to obtain a PhD in Electrical and Electronic Engineering, Control Engineering, Computer Science or a very closely
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Subject area: Drug Discovery, Sustainability, Laboratory Automation, Microfluidics, Machine Learning Overview: This highly interdisciplinary 4-year funded PhD studentship will contribute to cutting
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Applications are invited to undertake a PhD programme, in partnership with Airbus, to address key challenges in ensuring adoption of sustainable approaches to fuel additives for aviation use
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extend their research portfolio. Candidates must hold a PhD, or be near to submission of a PhD, in a relevant field of Microbiology or Evolutionary Genetics, ideally involving Fungal Biology. They must
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a PhD degree in an economics and should have an internationally recognized research programme in macroeconomics, international trade and/or international macroeconomics, as well as excellent
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offers unique teaching and research opportunities in a highly dynamic economy. About the School/Department This is an exciting opportunity to join the School of Computer Science (www.nottingham.edu.cn/go
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offers unique teaching and research opportunities in a highly dynamic economy. About the School/Department This is an exciting opportunity to join the School of Computer Science (www.nottingham.edu.cn/go
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approx. £15-17k across full PhD programme). Monthly stipend based on £20,780 per annum, pro rata, tax free. Working hours: Full-time (minimum 37.5 hrs per week). Working style: Primarily in-person at host
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of human perception – we would like you to help us unlock it using everything science and technology has to offer. In this PhD, you will primarily develop AI, computer vision approaches to analysing consumer
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Electronic Engineering, Control Engineering, Computer Science or a very closely related topic: Strong understanding of power electronics principles Excellent knowledge on data-driven machine learning algorithm