63 data-"https:" "https:" "https:" "https:" "Paris Saclay university" PhD positions at University of Nottingham
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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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or quantitative data analysis. • Basic computational or programming skills, or a willingness to engage with modelling and data-driven approaches. Strong communication skills, enthusiasm for interdisciplinary
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, including oxidation, complicating the interpretation of data. Therefore, a test method in which creep strain is developed without changing the cross-sectional area, is needed. This PhD proposal seeks
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of data. What is needed, therefore, is a test method in which creep strain is developed without changing the cross-sectional area. This PhD proposal seeks to concentrate on the formation of oxide scale and
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electronics) to process information efficiently. You will work at the intersection of mathematics, physics, electrical engineering and AI, helping to develop a theory that explains how and why these systems
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, and hence early applications are strongly encouraged. Contact Information For general application or process enquiries, please contact: For academic enquiries, please contact:
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. These studentships are open until filled, early applications are strongly encouraged. Contact Information For general application or process enquiries, please contact: For academic enquiries, please contact:
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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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Studentship Information Supervisor: Professor Ian Fisk Secondary Supervisor: Dr Vincenzo di Bari, Dr Louise Hewson, Mui Lim Subject Area: Food Science Research Title: Sodium Reduction in Coated