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Institute for Molecular and Computational Medicine (IMCM). You will test GSK assets and targets in established models of podocyte and mesangial cell pathology relevant to glomerular diseases. You will
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you To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD degree (completed or in the final stages) in sociology, social policy
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were ranked 1st in the 2025 Times and Sunday Times Good University Guide, and 4th in the 2025 Complete University Guide. Our aim is to sustain and support hubs of leadership in geographical scholarship
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Learning, Algorithms, Noise Handling (Error Correction/Mitigation), and Verification. These roles are part of the Quantum Software Lab (QSL, link: https://www.quantumsoftwarelab.com ), in collaboration with
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science, who are excited about testing conceptual biological questions in vivo, and who thrive in professional and high-pressure environments where scientific curiosity and focus drive excellence. You will
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, delivering tested methods, and creating algorithms to expand MMFM capabilities across domains like cardiology, geo-intelligence, and language communication. The postholder will help lead a project work package
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Institute and RiverD International. The successful candidate will adapt existing and develop and test new methods for detecting metastatic lymph nodes based on their molecular signatures as captured by AF and
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of reaction optimisation and synthesis of suitable reagents, test the conditions developed at the cellular level and purify and characterise (mass spectrometry) glycoRNA. The successful candidate will have (or
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-leading physics capabilities and enable time-dependent, non-LTE radiative transfer magnetohydrodynamic (MHD) simulations. The framework will be released as open-source software, with a strong emphasis on
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). This consortium pulls together expertise from all over the University, including in diagnostics, data science, drug and vaccine design, preclinical testing and clinical testing and brings it to bear on tuberculosis