256 phd-rehabilitation-engineering-computer-science positions at University of Nottingham
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participate in the dissemination of findings through publications and conferences. Qualifications: Completed or nearing completion of a Master's degree in Medicinal Chemistry, Chemical Engineering, or a related
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Following £1.6 million UKRI-investment in our Archaeological Science Laboratories, we are delighted to offer this exciting opportunity to bring specialist technical expertise to our new AHRC-funded
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leader in engineering innovation and drive technology, we design and deliver high-performance systems for industrial, automotive, and renewable energy applications. We are now seeking a dynamic Programme
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engineering. Expertise in numerical tools (Ansys, JMAG, .etc) and programming are desirable. Experience in electrical machine prototype development would be advantageous. Eligibility and Application
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development for undergraduate and postgraduate programmes (Masters and PhD) in the School of Economics, and to take a leadership role in the School's Research Centre for Globalisation and Economic Policy
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supervisors spans five departments at University of Nottingham including Architecture and Built Environment, Electrical and Electronic Engineering, Mathematics, Physics and Social Sciences. The PhD programme
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Following £1.6 million UKRI-investment in our Archaeological Science Laboratories, we are delighted to offer this exciting opportunity to bring specialist technical expertise to our new AHRC-funded
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degree which includes a substantial research element, with a score of 65% or above in the taught modules and 65% or above in the dissertation. Complete the PhD Programme online application . Your
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Our university is a supportive, inclusive, caring and positive community. We welcome those of different cultures, ethnicities and beliefs – indeed this very diversity is vital to our success, it is fundamental to our values and enriches life on campus. Visit our Equality, Diversity and Inclusion...
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of innovative computational methods using Big Data, Behavioural Science and Machine Learning to understand behaviour through the lens of digital footprint/“smart data” datasets, cutting across sectors ranging