35 web-programmer-developer-university-of-liverpool Postdoctoral research jobs at University of London in United Kingdom
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organs and development of chronic inflammatory disorders such as autoimmune arthritis. The proposed project holds significant pathophysiological relevance in the field of acute and chronic inflammatory and
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, Dr Anthony Phillips (School of Physical and Chemical Sciences), Dr Helen Walker (ISIS Neutron and Muon Source) and Dr Keith Butler (University College London) are assembling a team to study the
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: 23.59 hours BST on Tuesday 26 August 2025 Interview Date: Wednesday 03 September 2025 Reference: PPS-0210-25 We are seeking a highly motivated Post-Doctoral Research Assistant aiding the development
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an exceptional environment for career development in 2D materials and sustainable electronics. About Queen Mary At Queen Mary University of London, we believe that a diversity of ideas helps us achieve the
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About the Role You will develop and apply novel computational methods to quantify the societal impact of fundamental science discoveries. Candidates close to completion of their PhD will initially
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About the Role The ATLAS L1Calo/Global upgrade project is primarily a firmware development based on a common multipurpose hardware module. It requires a lot of software development in a wide range
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of pediatric brain tumours (Vinel et al BMC Biology 2025, Constantinou et al Cell Reports 2024 and Vinel et al. Nature Communications 2021) to develop new personalised therapies. About You We seek an ambitious
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University Research Fellowship of Dr Andrew Winter. The overarching goal of this project is to establish the connections between the properties of exoplanets and the large-scale star formation environment
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2025. We seek to recruit a Research Associate specialising in statistical modelling and machine learning to join our multi-university multi-disciplinary team developing a groundbreaking technique based
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at the Barts Cancer Institute (Queen Mary University of London). This role will involve analysing existing spatial-omics data sets and developing novel computational tools to understand the risk of developing