30 web-programmer-developer-"PhD-Jobs.NET" Postdoctoral positions at University of London
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supporting and developing future cancer researchers through its extensive postgraduate training. About Queen Mary At Queen Mary University of London, we believe that a diversity of ideas helps us achieve 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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develop, synthesise and characterise materials for this project. About You The post is suited to a PhD graduate with a background in materials chemistry or a related discipline. If you have a vivid
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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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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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, and ethical working. How to Apply In addition to the application form, please prepare your application as a single PDF document containing a research statement (detailing previous achievements and
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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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ticket loan scheme and access to a comprehensive range of personal and professional development opportunities. In addition, we offer a range of work life balance and family friendly, inclusive employment
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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