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, criminology, statistics, or data science experience in managing and analysing large relational datasets in R, SPSS, Stata or similar software strong quantitative skills excellent communication skills, both
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analysing large-scale datasets such as StatsBomb, which provide detailed technical and tactical data across multiple leagues and seasons. By applying advanced analytical and machine learning techniques
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. This inspiring project involves: Advanced Persistent Threats (APTs) are sophisticated cyber-attacks against the government and large organisations' networks and systems. These attacks, enacted over a prolonged
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with large-area, ultrathin thickness, and high flexibility, understanding their plasmonic enhancement mechanisms, and construction of artificial leaves to perform the solar-to-chemical conversion, which
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is carried out within the LHCb collaboration that runs one of the four large experiments at the Large Hadron Collider at CERN as well as towards future collider developments. I supervise a number of
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I specialise in the numerical modelling of high-energy particle collisions , such as those occurring at the Large Hadron Collider. Accordingly, most projects I offer straddle the intersection
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Status: Closed Applications open: 26/03/2024 Applications close: 25/04/2024 View printable version [.pdf] About this scholarship Description/Applicant information The Hydrogen Storage Research Group
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to undertake research in the field(s) of Product Development and Artificial Intelligence, Sustainable Building Practices, and Data Analysis. The nature of the research and development activities for the research
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I work on a wide range of topics with my local group and in collaboration with numerous members of three large international collaborations. The main focus of my work is understanding how
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for distributed asynchronous optimisation that do not require a central coordinator to aggregate information from individual devices. The theoretical foundations for these algorithms will be base on an abstract