86 engineering-computation "https:" "https:" "https:" "https:" "https:" "The University of Manchester" positions
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will involve the use of a wide-range of molecular and cell biological approaches including recombinant DNA technology, fluorescent microscopy and proteomic techniques to assess how protein aggregation
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the AI/machine learning algorithm to tissue microarrays built from patients recruited to the phase 3 trial, ICON8b. Thus, you will have a unique opportunity to use a cutting-edge technology to perform deep
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respiratory medicine. Applicants should have a PhD (or nearing completion) in computer science, biomedical engineering, computational medicine, machine learning, or biomedical data science, with a strong
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to play a pivotal role within our state-of-the-art Flow Cytometry Technology Platform. This is an exceptional opportunity to shape a vital core facility and significantly impact world-class scientific
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a consortium of NW Universities that include Manchester, Leeds, Liverpool, Lancaster, Sheffield and Strathclyde. The ethos of the programme is to recruit students from across STEM and give them
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| EPSRC Centre for Doctoral Training in Skills And Training Underpinning a Renaissance in Nuclear | The University of Manchester. If you have any questions, please contact SATURN@manchester.ac.uk Funding