180 application-programming-android-"Multiple" Postdoctoral positions at University of Oxford
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multiple aspects of work to meet deadlines. The post will be based in the Department of Chemistry, Chemistry Research Laboratory and is available from 1st October 2025 (or earlier). Applications
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About the role Applications are invited for two Postdoctoral Research Associate positions in Chemical Biology to work under the supervision of Professor Yimon Aye for a period of up to 24 months
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complex qualitative and/or quantitative data from a variety of sources, and contribute original ideas for new research projects. You will coordinate multiple aspects of work to deliver novel research data
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: Department of Biochemistry, South Parks Road, Oxford Contract type: Fixed-Term Hours: Full-time About the role Applications are invited for a Postdoctoral Research Associate in Postdoctoral Research Associate
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Postdoctoral Research Assistant, you will manage own academic research and administrative activities. This involves small scale project management, to co-ordinate multiple aspects of work to meet deadlines. You
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administrative tasks, this will include small scale project management to coordinate multiple aspects of work to meet deadlines. You will adapt existing and develop new scientific techniques and experimental
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manage your own academic research and administrative activities. This involves small scale project management, to co-ordinate multiple aspects of work to meet deadlines. You will adapt existing and develop
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, to co-ordinate multiple aspects of work to meet deadlines. You will undertake laboratory work as required, such as sample preparation, cell culture, analysis of tumour samples and, tissue staining. Other
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strategic programme. Through multiomic and spatial biology exploration of temporally distinct samples from clinical trials and advanced biological models, an international consortium of leading colorectal
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Colorectal Cancer - Stratification of Therapies through Adaptive Responses (CRC-STARS) programme, developing and applying cutting-edge mathematical methods to spatial transcriptomics imaging data in order to