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Postdoctoral Research Associate Molecular and cellular biology of mitochondrial disease models The University of Cambridge wishes to appoint a talented postdoctoral research associate to join the
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Research Assistant / Research Associate in Frontiers of Atomistic Simulation Techniques (Fixed Term)
Fixed-term: The funds for this post are available for 2 years, or until the Grant End Date (30th September 2026), whichever is earliest. The Frontier of Atomistic Simulation Techniques (FAST) group
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prediction and/or dynamical simulations is preferred. An interest in modern approaches to data analysis and management would be an advantage, as would a theoretical appreciation of novel phenomena. The ability
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Applications are invited for a BBSRC-funded postdoctoral vacancy in molecular biology to join a multi-disciplinary team based at the Department of Pathology in Central Cambridge. The successful
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the frontiers of molecular bioscience. For further details, please see Leone et al (2024) Mol Cell and Mulroney et al (2024) Nature. You will need to hold, or be close to completing, a PhD in an appropriate field
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cellular and molecular biology approaches. Our aim is to inform development of new immune-based therapies for patients with cancer and inflammatory disease. You will be expected to oversee and provide
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of researchers spanning multiple scientific disciplines, including molecular virology, imaging, omics and organoid infection models. This position, funded by the Wellcome Trust, offers an exciting opportunity
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, disease-monitoring and ultimately transform patient outcomes. Candidates are expected to hold a BSc or MSc degree in Molecular or Cell Biology or a related discipline. Candidates should have experience with
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innovative human experimental medicine inhaled challenge model for investigating the molecular drivers of anti-viral innate immune responses in the lungs of healthy individuals and those with asthma. Further
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transfecting Plasmodium parasites, preferably specifically Plasmodium Knowlesi. You will also have extensive experience in using molecular biology techniques (e.g. Gibson Assembly) to generate and validate