21 high-performance-computing-postdoc Postdoctoral research jobs at University of Cambridge
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materials. This project will make use of operando optical microscopy experiments to observe these phenomena in real-time during battery operation. The successful applicant will have the opportunity to work as
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. Working closely with Janne Pott, a postdoctoral researcher in the group, the successful applicant will perform simulation studies as well as applied analyses of sex-differential and/or time-varying exposure
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postdoctoral researchers, students, and other research staff in the group. Key responsibilities will include: Performing successful engraftment of patient biopsies or cell lines to generate xenograft
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A position exists for a Post Doctoral Research Associate in the Department of Applied Mathematics and Theoretical Physics, funded by the High Energy Physics group's STFC Consolidated grant
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sophisticated conceptual problems relevant to the project. Applicants will ideally demonstrate a high level of competence in relevant languages, where appropriate. Previous experience of scholarship within a
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demonstrate a high level of competence in relevant languages, where appropriate. Previous experience of scholarship within a discipline and chronological period encompassed by the project is essential
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to ionising radiation and clinically relevant drugs. A strong focus of this research is to study the specific functions of key DNA repair enzymes in high detail, how they function as a network to facilitate
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to probe glycoRNA in cells, and to exploit the roles of glycoRNA in cancer. The successful candidate will perform bioorthogonal chemistry to apply in the context of glycoRNA probing. This will consist
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Mathematics and Mathematical Statistics. Duties include developing and conducting an individual program of research. The successful candidates will usually be associated with one of the departmental research
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molecular and computational approaches. They will hold a PhD in a relevant subject, have a solid computational background, and be able to curate, analyse and interpret complex single-cell data sets