353 computational-physics-"https:"-"https:"-"https:"-"https:"-"U.S"-"U.S" Postdoctoral positions in United Kingdom
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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
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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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aims to achieve reliable genome design and synthesis – engineering cells to have specific functions – which will be a major milestone in modern biology. A dedicated social science program will support
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to contribute to the ‘Biological Nitrogen Fixation’ program. This initiative seeks to engineer biological nitrogen fixation into widely grown crop plants to improve yields and reduce global reliance on synthetic
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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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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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experience in microbiome research sequencing is preferred. Experience with statistical analysis and data visualization, and with using a computational cluster including job scheduling is required. A strong
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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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assessment process, with the goal of creating an inclusive and equal assessment process. To support this, personal details such as your name, may be removed from application forms at the initial shortlisting
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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