464 data-"https:"-"https:"-"https:"-"https:"-"https:"-"Simons-Foundation" PhD positions in United Kingdom
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, host stress, and yield bottlenecks Data-driven design iteration: Integrate empirical data to refine AI-generated plasmid designs Impact and Outlook: This project will deliver scalable, deployable
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. These “artificially aged” oocytes reveal key ageing features. We will use this as an additional model to monitor the temporospatial changes during oocyte ageing which will allow us to generate data for a standard curve
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, environmental science, urban sustainability, geospatial analysis, or quantitative modelling. We particularly welcome applicants who are excited about integrating ecological understanding with data-driven methods
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loads in power system dynamics and stability as system strength continues to decline. Building on existing frameworks such as the WECC Composite Load Model (CLM), you will develop and validate data-driven
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simulations that will be validated against subject-specific data of the real outcome. This will be an iterative process, aimed at finetuning the simulator’s biomechanical parameters, to improve its predictive
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, partial differential equations, and numerical methods is highly desirable. For further information and relevant references, please contact Dr. Davide Proment at d.proment@uea.ac.uk . Entry Requirements
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. Supervisors:Professor Gill Elliott and Dr Lindsay Broadbent Entry requirements Open to candidates who pay UK/home rate fees. See UKCISA for further information . Starting in October 2026. Later start dates may be
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select ‘PhD Energy Materials' as the programme of study You will then need to provide the following information in the ‘Further Details’ section: a ‘Personal Statement’ (this is a mandatory field) - upload
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will then need to provide the following information in the ‘Further Details’ section: a ‘Personal Statement’ (this is a mandatory field) - upload a document or write a statement directly in to
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training will be provided. We particularly welcome applicants who are excited about integrating ecological understanding with data-driven methods. There is flexibility to tailor the research to your