41 structures-"https:" "https:" "https:" "https:" Postdoctoral positions in United Kingdom
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highly productive and ambitious member of the QUB and Rolls-Royce collaborative research team, investigating and using computational simulation methods to support structural design of next generation
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fidelity of implementation of the co-designed intervention and explore mechanisms of impact and contextual factors associated with variation in outcome. Normalisation Process Theory will be used to structure
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machine learning methods to model changes in the brain over the lifespan, including brain structure and function, and how those changes relate to environment and genomics. About the Role The post is funded
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Randomness and Structures; and Geometric analysis, stochastics and partial differential equations, interactions and applications . The starting date is flexible, preferably no later than September 2026
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structure theory, or simulation of electronic spectra. Experience with f-element chemistry, X-ray spectroscopy (theoretical or experimental) and/or method development in quantum chemistry would also be
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computational methods for analysis and interpretation of large-scale biological datasets. Experiences in structural homology modelling is not essential but would be advantageous. The post holder will work in a
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of Political Science including academic, teaching, and research staff, professional services, and MPhil/PhD students (for an overview of our research, see https://www.ucl.ac.uk/drupal/site_political-science
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international cooperations and networks Desirable qualifications are: Knowledge of university processes and structures Experience of supervising students What we offer: Work-life balance: Our employees enjoy
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of metabolic diversification and metabolic engineering for food and health applications. The role: The successful candidate will investigate the diversity and structure-function relationships of one or more key
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the mechanism of co-transcriptional splicing. The project aims to understand the mechanism of crosstalk between the transcription and splicing machineries using a combined biochemical and structural approach with