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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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Cambridge Institute. The Rosenfeld lab pioneers new approaches for non-invasive molecular diagnostics and analysis of cancer genomes and evolution, using next-generation sequencing of cell-free tumour DNA
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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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molecular biology techniques, tissue culture, flow cytometry, and accurate recording of data are essential. Flexibility, the ability to prioritize, and excellent interpersonal skills are essential. Desirable
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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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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