88 evolution "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" "St" Postdoctoral positions at University of Oxford
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carried out in collaboration with Prof. Susan Lea FRS FMedSci at St. Jude Children’s Research Hospital, and the successful candidates will have the opportunity to spend periods at St. Jude in Memphis, USA
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area of a research project and actively collaborating in the development of peer-reviewed research articles for publication is desirable. This post is full-time with the possibility to request part-time
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Roberts and Professor Matthew Wood at the Institute of Development and Regenerative Medicine on the Old Road Campus. The Roberts/Wood Labs at the University of Oxford is seeking a highly motivated
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computational biologists, immunologists, clinicians, and experimental scientists, you will support study design, data interpretation, and reporting, and contribute to the development of robust, reproducible
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-learning models based on first-principles data and apply these methods across increasingly complex structures and chemical systems. The role will involve both methodological development (datasets, models
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activity and a fast-paced, research-driven culture. The department has recently moved to its new home in The Life and Mind building . This exciting development provides exceptional research and teaching
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Applications are invited for a Postdoctoral Research Assistant in Space Instrumentation. The post holder will join the Oxford Space instrumentation group to support the development of the Modular
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Chemicals PLC and the University of Oxford. The postholder will undertake the synthesis and characterisation of functional polypropylenes, contributing to the development of materials for advanced, high-value
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role focuses on the computational analysis and methodological development of third-generation and single-cell sequencing data to understand the role of transposable elements (TEs) in early mammalian
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The postdoctoral researcher will lead the development of computational methods for aligning cortical organisation across species using transcriptomic and anatomical data combined with modern machine