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by a European Research Council (ERC) Starting Grant. The successful applicant will carry out high-impact research on the interstellar medium, stellar, and black hole properties of high-redshift
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increase the reliability and performance of the existing ML workflows that underpin the PSIPRED workbench. One target here is to integrate novel bioinformatics foundation models to accelerate methods
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for Advanced Research Computing (ARC) is UCL’s institute for infrastructure and innovation in digital research. We are an innovative hybrid: a professional services department that delivers reliable
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of Curriculum, Pedagogy and Assessment is a world-leading centre for business, citizenship, computing, economics, geography, history, mathematics, religious education, science and social sciences
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medical science spanning digital healthcare, computing and data science, biomedical engineering or a related field. Extensive knowledge in development and application of AI/machine learning for
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of Curriculum, Pedagogy and Assessment is a world-leading centre for business, citizenship, computing, economics, geography, history, mathematics, religious education, science and social sciences
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photonic technologies based on monolithically integrated III-V compound semiconductors on silicon. The QUDOS Programme Grant is a major EPSRC investment aimed at developing high-performance quantum
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programmes, and has an extensive research portfolio across a wealth of areas, from molecular scale to complex systems. About the role The successful candidate will develop and operate high-throughput
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dispersibility and stability, attaching biological recognition molecules, and evaluating optical and spin properties and performance in model assays. There will be scope to propose and pursue new
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Postdoc in Observations of the High-Redshift Universe at UCL This site uses cookies to store information on your computer. Some of these cookies are essential, while others help us to improve your