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, demonstrating strong proficiency in electronic structure calculations, high-performance computing (HPC), and code development for molecular spectroscopy. This full-time, 3-year position supports the STFC-funded
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for the ‘Course Title’ using the programme code: 8050F Research Area: Computing Science Select ‘PhD Computer Science (full time) - Computing Science' as the programme of study You will then need to provide
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for the ‘Course Title’ using the programme code:8210F Select History in the ‘Research Area’ field Select ‘PhD School of History, Classic and Archaeology (full time) – History' as the programme of study You will
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maths, science, coding), and (3) world modelling for multimodal planning and simulation. Adaptive FMs thus open a path towards more efficient and more capable generative AI. Within the project, you will
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parameter inference techniques. The role will also involve creating robust, efficient, and reproducible computational code capable of running at scale within high-performance computing (HPC) environments. In
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of medical data and operation of complex databases and information systems in order to code and abstract medical data and routine data entry. Record and code incoming forms etc, checking for inconsistencies
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4-year PhD fellowship in the Research Programme - Deep Learning-Accelerated Crystallography Pipeline
. Job description Your key tasks are: Carrying out an independent research project under supervision, including deriving its mathematical basis and implementing results in code; Completing PhD courses
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. Programming, coding, and experimental hardware skills (desirable). Strong analytical and mathematical capabilities. A passion for research and a willingness to learn. Excellent presentation, communication, and
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software to modern .NET environments, including .NET Core and .NET 8+. This will involve refactoring applications, managing dependencies, migrating source code and hosting components, remediating
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science tools and coding approaches with a keen interest in developing these skills. You enjoy applying these skills to new scenarios and solving problems whilst developing new methods and are keen to