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analysis (LCA). Support certification (e.g., BBA approval). Support commercialisation. Research Associate: Hold a PhD in materials science and engineering or a closely related discipline, or equivalent
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of Engineering and Materials Science, a large School with approximately 70 academic staff and around 45 postdoctoral research staff. There are around 1000 undergraduate and taught postgraduate students and 220 PhD
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law firms all within walking distance. About the role We are recruiting a Post Doctoral Research Associate (PDRA) to work within the Centre for Data Futures (CDF) at King’s College London, in close
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contribute to research on applied machine learning methods that support robust decision-making under uncertainty. This may involve working with structured datasets, panel data, text data, regulatory documents
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should hold a PhD (or be close to completion) in a relevant analytical and quantitative discipline, such as civil or transport engineering, transport modelling, mathematics, statistics, data science
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About the Role This is a full-time Postdoctoral Research Associate position for up to 36-months on the research project “PROCLAIM -- Polarization, Radicalization and extremism Online identifying
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2026 Reference 0626-182 Right to work: Please note that it will not be possible for the University to issue a Certificate of Sponsorship to the successful candidate for this position. Therefore
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Right to work: Applications from job seekers who require sponsorship to work in the UK are welcome and will be considered alongside all other applications. For further information visit the UK Visas
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including grade 7. Visit the Centre for Research Staff Development for more information. About you Essential Criteria: 1. A PhD in Physics, Chemistry, Materials Science, Engineering, or a closely
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Right to work: Please note that it will not be possible for the University to issue a Certificate of Sponsorship to the successful candidate for this position. Therefore, the appointable candidate