70 algorithm-development-"Multiple"-"Prof"-"UNIS" research jobs at University of Cambridge
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., musicology or medieval studies) or have evidence that the PhD will be completed by the starting date and show a developing profile of publications. The successful candidate will be capable of engaging with
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the starting date and show a developing profile of publications. The successful candidate will be capable of engaging with sophisticated conceptual problems relevant to the project. Applicants will ideally
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at the Department of Chemistry at the University of Cambridge (https://www.ch.cam.ac.uk/group/michaelides ). The projects will involve the development and application of approaches for treating complex intermolecular
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well as the wider academic community: for example, by collaborating or engaging with policy, charity, or stakeholder organisations; by developing or maintaining open-source and/or community resources and/or by
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in developing new strategies for treating type 2 diabetes and obesity based on GLP-1 and other gut peptides. The position holder will take responsibility for managing complex murine colonies. Specific
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many academic disciplines. This is an exciting opportunity to support the development, research, and valorisation of impact-oriented projects for the Desirable Digitalisation programme, a collaboration
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disciplines (e.g. primary care research, epidemiology, sociology, psychology). The postholder will be well supported in their professional development, with opportunities for developing skills and knowledge
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Biomedical Campus. You will join an exciting research programme investigating fundamental mechanisms of ribosome assembly, translational control and how defects in these processes drive cancer development
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opportunity for an early career researcher to be develop their curatorial practice around British Art (1700-1950). The post holder will have the opportunity to build partnerships in the University of Cambridge
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a nano source to cater for various throughput and sensitivity requirements. The appointee will receive training in developing quantitative LC-MS methodologies for peptides and proteins, as