8 parallel-computing-numerical-methods-"Multiple" PhD positions at University of Oxford
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computational approaches towards a new project which seeks to better understand the causes and consequences of the correlation between multiple traits and to quantify trait variation that arises from new
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numerical modelling approach for simulating root-soil interaction, coupled with physical model testing to determine root-soil interaction parameters. The results of this phase of the project will have direct
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-matter interactions, via theory and simulations, to measure quantum dynamics in atoms and molecules. The project aims to explore new ideas for how quantum tomography, combining multiple measurements and
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health, and bioinformatics. You will apply advanced AI methods - from classical machine learning to large language models and agent-based AI - on large-scale healthcare datasets, including structured
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services research and epidemiology, along with practical skills in managing large, complex datasets. Proficiency in statistical software, especially STATA, is essential. You must be able to handle multiple
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. The following skills are highly desirable but not essential: Ability to program in Matlab/Python Experience with Finite Element Analysis and Reduce Order Modelling Experience in Rapid Prototyping and CAD Design
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-wide scholarship programme, which provides a number of scholarships to outstanding Home and Overseas applicants on a competitive basis. Research in the McGonigal and Avestro groups focuses
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About the role The Department of Social Policy and Intervention wishes to appoint three part-time Research Assistants (RAs) to work on a project related to economic and social inequality in high-income countries. The Research Assistants will work directly with Prof. Zachary Parolin. This a good...