657 web-programmer-developer-"LIST" "https:" "https:" "https:" PhD positions in United Kingdom
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with Graphs led by Prof. Nils M. Kriege. Our research focuses on the development of new methods and learning algorithms for structured data. Graphs and networks are ubiquitous in various domains from
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Research Assistant/Associate in Photonics Integration of Graphene and Related Materials (Fixed Term)
The aim is to develop a new class of integrated photonic and optoelectronic devices based graphene and related materials (GRMs), combining the versatile properties of GRMs with conventional three
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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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to develop a comprehensive modelling and analysis approach for hydrogen systems, such as electrolysers and their BoP systems, in meeting some of the below challenges in: advanced diagnostics and prognostics
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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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understanding of the current topics in the field. We are particularly interested in PhD studentship applications that seek to address: Development of new methodologies for the evaluation of Shoulder/Upper Limb
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developments in probabilistic numerics- where uncertainty in numerical computation is explicitly represented and quantified-offer a promising new perspective for addressing inverse problems in complex
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supported by the Ministry of Defence and EPSRC for building the necessary expertise to develop next-generation hypersonic vehicles. This offers a fully funded 4 years stipend and tuition fees at the Home
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for restoration and land management, co-designed with South African government agencies. Develop open-source tools (QGIS plugin and web viewer) to support operational uptake and policy integration. Funding Both
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the climate system through the development and utilisation of geospatial foundation models for clouds in the context of climate research. Successful applicants will work closely with IBM and our international