590 assistant-professor-computer-science-"https:"-"https:"-"https:"-"https:"-"UCL" PhD positions in United Kingdom
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-leading research programme investigating key nuclear reactions for both fundamental physics and applications. The aim of the project is to establish new methods to measure properties of Auger electron
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detection of chemical and microbial contaminants in rivers. The studentship is funded by the Leverhulme Trust through the Connected Waters Leverhulme Doctoral Programme, which is supporting new research
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supported by PEACEPLUS, a programme managed by the Special EU Programmes Body (SEUPB) involving a range of partner organisations. NWCAM2 is an initiative seeking to help small and medium sized enterprises
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Applications are invited for a Research Assistant/Research Associate in Viral Genomics and Immunology at the Department of Infectious Disease Epidemiology/ School of Public Health/ Faculty
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manufacturer and technology company. Applications are invited for a 3.5-year EPSRC funded UDLA PhD studentship. The studentship will start on 1st October 2026. Project Description As Deep Learning and
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, this project aims to reveal the viewpoints, agency and impacts of Global South communities and mid-level aid workers on the international system. A more granular understanding of the lived experience
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the gallery. Set up ‘to inspire a lifelong love of art and learning’, TOP has worked with thousands of children to date: this offers a rich dataset to help better understand the evolution of the programme and
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training programme by the University of Liverpool. As well as gaining a formal HE teaching qualification, you’ll learn key pedagogical skills for the academic job market, primarily through shadowing mentored
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systems across a wide range of applications, including e-mobility, automotive, aerospace, rail, marine and stationary storage. For further details please refer to the Group webpage or contact Professor
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of materials science, combining ab initio density-functional theory (DFT) calculations with novel ML methods. You will develop ML-assisted computational screening methods, building highly accurate models