400 information-security-"https:"-"https:"-"https:"-"https:"-"UCL" Postdoctoral positions in United Kingdom
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The Ellison Institute of Technology (EIT) tackles humanity’s greatest challenges by turning science and technology into impactful global solutions. Focused on areas like health, food security
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This is a fixed term externally funded role for 18 months offered at 0.9 fte. The role starts 1st July 2026. The role Based within the Faculty of Health, Science and Technology and reporting
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molecular biology techniques such as cell isolation, cell culture, ELISA, FACS, RT qPCR, and western blotting is essential. A strong background in cellular and molecular immunology and experience handling
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This is a full-time research post working on a clinical trial of Strengthening Families, Strengthening Communities: Safer Lives (SFSC:SL) parenting programme for the parents of young people at risk
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experiments in the wet lab and fly lab and collect data. You will have opportunities to develop your technical skills (microscopy, data collection & analysis), supporting an interdisciplinary team
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The Monroe group at the Oxford University Department of Engineering Science seeks a full-time Postdoctoral Research Associate. This post is funded by the Faraday Institution Multiscale Modelling
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neoformans A Postdoctoral position is available in the lab of Prof. A. Jeyaprakash Arulanandam to study the non-canonical mechanisms of genome transmission in Cryptococcus neoformans. Cryptococcus neoformans
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Applications are invited for a Post-doctoral Research Assistant in Galaxy Evolution Studies. The project is focusing on Active Galactic Nuclei (AGN) radiative feedback and in particular its impact
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their expertise in being part of a laboratory delivering assay results to underpin a multicentre drug screening programme in ALS. This post is suitable for a bioscience graduate with excellent organisational skills
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. Richard Nickl and work in the project area 'Statistical aspects of non-linear inverse problems', which broadly addresses mathematical and foundational challenges in contemporary data science and the theory