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of murine models of high-grade lymphoma with the aim of providing pre-clinical evidence to support the development of metabolic inhibitors as novel treatments for lymphoma, alone or in combination with
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of cardiovascular, endocrine and inflammation science. The fundamental mission of the FMD is to ensure that the best possible clinical service is underpinned by the very latest development in scientific and clinical
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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 policies, flexible working
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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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return we offer a highly competitive rewards and benefits package including: Generous annual leave entitlement Training and Development opportunities Pension Scheme with generous employer contribution
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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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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
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that makes an impact. In return, we will provide you with strong and enthusiastic support to help you develop your career. About the School/Department/Institute/Project The Faculty of Medicine and Dentistry
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modelling/AI and/or computational neuroscience, with strong computational skills. The post holder will provide research support in the area of computational neuroscience/AI and animal cognition, develop