13 application-programming-android-"Multiple" PhD positions at University of Oxford in United Kingdom
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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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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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with an international reputation for excellence. The Department has a substantial research programme, with major funding from Medical Research Council (MRC), Wellcome Trust and National Institute
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, Humanities or other relevant subject. You will have some experience and sufficient specialist knowledge in the discipline to work effectively within the research programme. You will also have the ability
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their application materials which of the three projects they are most interested in working on. About you You are working toward a doctorate in a social science discipline (or a relevant data science field), have
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://hr.admin.ox.ac.uk/staff-benefits Application Process This position is fixed term until 30/12/2026 Applications for this vacancy are to be made online. You will be required to upload a supporting statement and CV as
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applications for additional training funding. By joining us, you will have the opportunity to contribute to a forward-thinking department. We welcome new staff with ideas who are willing to shape the future
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science and medicine Experience in applying AI to large-scale healthcare datasets, contributing to grant proposals, or deploying AI tools in real-world applications would be highly valuable. The successful