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assistance programme: Staff Support Service Discounted medical insurance Visit https://www.ucl.ac.uk/work-at-ucl/reward-and-benefits to find out more. As London’s Global University, we know diversity fosters
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) for engineered microbial strains. Design and implement machine learning algorithms to predict strain performance and optimise metabolic pathways. Integrate multi-omics datasets into computational workflows
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candidate will: Develop genome-scale metabolic models (GEMs) for engineered microbial strains. Design and implement machine learning algorithms to predict strain performance and optimise metabolic pathways
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identification framework. The role involves developing a species-agnostic computational pipeline that integrates cutting-edge deep learning methods - such as AlphaFold2 and FoldSeek -to enhance protein function
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more. Visit https://www.ucl.ac.uk/work-at-ucl/reward-and-benefits to find out more. Application Process If you have any queries regarding the vacancy please contact Professor Mariya Moosajee
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About the project: Machine learning accelerated Inverse Design of Graphene Nanoribbons for Green Energy Supervisor: Dr Sara Sangtarash, University of Warwick Thermoelectric materials convert heat
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, paternity and adoption pay Employee assistance programme: Staff Support Service Discounted medical insurance Visit https://www.ucl.ac.uk/work-at-ucl/reward-and-benefits to find out more. If you need
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approaches often provide only limited insight into these effects. This project will use advanced computer simulation, informed by post-operative scans and patient movement data, to understand how variations in
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• Discounted medical insurance Visit https://www.ucl.ac.uk/work-at-ucl/rewards-and-benefits to find out more. As London’s Global University, we know diversity fosters creativity and innovation, and we want our
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the role can be addressed to Dr Jasmine Donaldson (j.donaldson at ucl.ac.uk). For a full job description please visit UCL’s online recruitment portal (https://www.ucl.ac.uk/work-at-ucl/search-ucl-jobs ) and