25 proof-checking-postdoc-computer-science-logic Postdoctoral positions at University of Cambridge in United Kingdom
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CRISPR genome editing and/or CRISPR genetic screens is essential, as well as a strong background in cell and molecular biology techniques, tissue culture, and stable cell line generation. The research
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work involving marine bivalves. The ideal candidate will be self-motivated, passionate about cancer genome biology and somatic evolution, and willing to learn, develop and apply state-of-the-art
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networks. This position is part of a UK-Canada Quantum for Science collaborative project "Quantum network applications in theory and practice" funded by STFC/EPSRC (UK) and NSERC (Canada), led by Professor
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. A background in neurobiology, anatomy and a very strong quantitative preparation (with extensive experience in bioinformatics/computer science) will be essential. Prior experience with Drosophila
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largest protein/peptide mimotope dataset foundational for advancing any peptide-based drug discovery programme. The ERC PoC PepVerse project focuses on increasing the technology readiness of this platform
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cloning, synthetic biology, systems biology, computational modelling, and image analysis would also be valuable to the role. The successful applicant will be an excellent team player, highly solution
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Department of Chemistry, working on the Faraday Institution Nexgenna (sodium-battery project). The project will be co-supervised by Prof. Dominic Wright, Prof, Dame Clare Grey and Prof. Steven Ley and involves
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. Applicants should have (or be about to obtain) a PhD in chemistry with expertise in the synthesis of conjugated small molecule and/or polymers. Key skills that are required are the ability to work on multiple
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Limit of tenure applies A Postdoctoral Research Associate position is available within the group of Dr Albert Koulman at the Institute of Metabolic Science (IMS), focusing on the development and
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aims to provide mathematical models of decontamination processes and is funded by the Defence Science and Technology Laboratory (Dstl). The approach to mathematical modelling is multifaceted, with