310 computational-physics-"https:"-"https:"-"https:"-"https:" Postdoctoral positions in United Kingdom
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Planetary Physics (AOPP) sub-department of the department of Physics, at the University of Oxford. The post will address a significant problem in climate forecasting known as the Signal-to-Noise Paradox (SNP
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on combining theoretical and computational approaches (including data-driven mathematical models, tools for identifiability analysis and uncertainty quantification) to understand fundamental aspects
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Process Applications for this vacancy are to be made online and you will be required to upload a supporting statement and CV as part of your application. In your supporting statement (****not more than 2
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. Candidates will be interviewed for both posts through a single interview process. The successful candidates will have their own distinct projects but should also be prepared to work closely with each other and
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at each stage of the recruitment process for any candidate with a disability. We are open to considering applications from candidates wishing to work flexibly.
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will focus on combining theoretical and computational approaches (including data-driven mathematical models, tools for identifiability analysis and uncertainty quantification) to understand fundamental
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, 12 Mansfield Road, Oxford, OX1 3TA and Rodney Porter Building, Sibthorp Road, off South Parks Road, Oxford, OX1 and is available from January 2026. Application Process Applications for this vacancy
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with active arts and social sectors, while working in a University that has made significant contributions to society, medicine, physics and teaching for over four centuries. Our people have helped
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-linear systems of ordinary differential equations and the proficient use statistical programming languages (R, Julia or Python), Bash computing and the development of computational packages are essential
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, applied/medical statistics, bio/medical engineering, health data sciences, health informatics, computer science, clinical artificial intelligence, environmental epidemiology, climate data sciences, remote