55 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Newcastle University" PhD scholarships at University of Nottingham
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applications, and the creation of high-throughput, miniaturised screening platforms capable of accelerating data generation while reducing waste. The aim is to improve the solubility, stability, and overall
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to architectural design, human-building interaction, digitally-driven adaptive architecture, personal data, mental health and wellbeing, and theories of embodiment. What is the funding for: full fees and a monthly
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funding to enrol on this PhD. For students from China, you are encouraged to apply in partnership with the China Scholarship Council - more information can be found here: https://www.nottingham.ac.uk
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degree in engineering, maths or a relevant discipline, preferably at Masters level (in exceptional circumstances a 2:1 degree can be considered). To apply visit: http://www.nottingham.ac.uk/pgstudy/apply
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with a 1st class degree in engineering, maths or a relevant discipline, preferably at Masters level (in exceptional circumstances a 2:1 degree can be considered). To apply visit: http
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to the analysis of time series. In particular, the project will examine and develop methods that go beyond the Markovian paradigm. It will consider a range of time series data, focusing on those that show
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, preferably at Masters level (in exceptional circumstances a 2:1 degree can be considered). To apply visit: http://www.nottingham.ac.uk/pgstudy/apply/apply-online.aspx For any enquiries about the project please
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of Nottingham but also work closely with collaborators at e.g. University of Cambridge, Newcastle University. The aim is to develop and understand a new reaction scheme for ammonia combustion with reduced
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trigger redesigns across multiple groups. The challenge is compounded by the fact that each discipline uses different data models and representations, making system-level interdependencies difficult
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Data is more valuable than oil, so it has been said. Quantum computing offers new unusual datasets thereby presenting new opportunities for AI approaches. Quantum computing is raising the prospect