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process. Please note that this is a PhD level role but candidates who have submitted their thesis and are awaiting award of their PhDs will be considered. In these circumstances the appointment will be made
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Centre in the Denmark Hill Campus. The applicant should have a PhD in Biomedical Engineering, Medical Physics, Medical Imaging, or a related area (or pending results). They should have good analytical and
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with cutting-edge models and technologies—including patient-derived glioblastoma organoids, CRISPR-based screens, mass cytometry, and advanced microscopy—to dissect these complex biological processes
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Centre in the Denmark Hill Campus. The applicant should have a PhD in Biomedical Engineering, Medical Physics, Medical Imaging, or a related area (or pending results). They should have good analytical and
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quantitative proteomics and imaging to understand microtubules impact cell physiology. We offer a vibrant and creative multidisciplinary environment, and the successful candidate will be supported to develop
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neurophysiology techniques (opto/chemogenetics and Neuropixels recordings) who are either: 1) looking to gain experience in neurophysiology before applying for a PhD or 2) looking for their first postdoctoral role
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imaging data - Developing new methods for inference of copy number alterations from single-cell DNA sequencing data - Analysing patterns of single-cell copy number variation to identify mechanistic
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responsibility for implementing a deep learning work-package as part of a Cancer Research UK-funded programme, developing an image-recognition model to identify morphological features corresponding to clonal
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responsibility for implementing a deep learning work-package as part of a Cancer Research UK-funded programme, developing an image-recognition model to identify morphological features corresponding to clonal
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collaboration with the Translational Gastroenterology Unit (TGU) and the Ludwig Institute of Cancer Research (LICR) we aim to develop a computer guided endoscopy image recognition system that will support