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Associate to join a research project based in the groups of Prof. Aurora J. Cruz-Cabeza and Prof. John Evans. The project is part of a new £7m EPSRC funded Programme Grant that brings together a team of
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planned work, including one of the UK’s only 7 Tesla MRI systems located inside a hospital environment, state-of-the-art engineering and physics laboratories, high-performance computing, and industry
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cognitive neuroscience and imaging background, with an interest in connecting brain data to cognitive theories of compulsivity. You should also have a rich experience with neuroimaging methods and data
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understanding of dark energy. Projects may span a broad range of topics, including improving Type Ia supernova modelling and standardization, developing and applying advanced data analysis and statistical methods
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Mental Health Younger Generations Programme. You will work with a friendly, supportive, passionate, and hard-working group to undertake statistical analysis of quantitative data to test hypothesis
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, with a focus on child and adolescent mental health. The successful candidate will primarily lead analyses of large-scale datasets, applying advanced computational and statistical methods to integrate
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programme of our growing team, on the post-transcriptional processes that control the assembly of cortical circuits in the mammalian brain. The post will involve working with transgenic mouse models
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Deadline 1 Nov 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position
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transport for inverse problems One of the central topics of the research projects is the further development of theory and methods for the concept of optimal transport for inverse problems. Optimal transport
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part of your personality: You have successfully completed a doctoral program in Judaic Studies or a related field by the application deadline. You have experience with interdisciplinary theories and