38 structures-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" Postdoctoral positions in United Kingdom
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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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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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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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an excellent publication record. Solid research experience in one or more of the following topics is expected: Graph neural networks Optimization algorithms Predicting structured output Self-supervised learning
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have, or be about to obtain, a PhD in Computational Chemistry or a related discipline, with experience in multiconfigurational quantum chemistry, relativistic electronic structure theory, or simulation
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computer-aided design (CAD) and FEM solvers of optical systems Experience in the optical and mechanical design of optical devices or lasers Experience with construction and testing of optical cavities
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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
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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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, Future Energy Systems and Advanced Materials, Electronics and Communications) and eight Research Nodes which group staff under technical expertise and interest (see https://www.durham.ac.uk/departments