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evaluating computational methods, analysing imaging data, collaborating with clinicians for real-world impact, and contributing to publications. About You PhD (or near completion) in computer science
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this condition. You will evaluate their interactions using in vivo micro-CT, intravital imaging, spatial transcriptomics and molecular analysis techniques, identifying the key pathways governing this process
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About the Role This is an exciting position where applicants are invited to join a multi-disciplinary team of bioengineers, biomedical scientists, and computer scientists working together at Queen
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progression. The Iskratsch Group , at the School of Engineering and Materials Science, Queen Mary University of London is exploiting cutting-edge mechanobiological, as well as imaging approaches2-5 with the aim
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culture models and cell imaging to decipher mechanisms contributing to cancer cell invasion. We offer a vibrant and creative multidisciplinary environment, and the successful candidate will be supported
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parasite mutants, antibodies, spatial proteomics, real-time and super-resolution imaging, we will reveal essential protein domains and characteristics, will identify interacting protein partners and will
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at the Brain Repair Centre, University of Cambridge. About You Applicants should have a PhD in neuroscience, cell biology, stem cell biology, or a closely related discipline, with ability to work