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organoids, computational biology and informatics. Our laboratory research is translational, generating new insights that we develop for clinical impact through MitoCAMB and the Cambridge Clinical Vision
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capable of driving the project forward. The ideal candidate: The ideal candidate will possess (or soon complete) a PhD in Theoretical Physics, Bio-Mathematics or Computational Biology. They will possess a
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and statistical modelling, statistical image analysis and computer vision, chemometrics, biophysics, bioengineering. Preference will be given to candidates with a demonstrated experience in applying
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contributions, and potentially co-author publications. It is particularly well-suited for students who are considering pursuing a PhD or an academic career after graduation. We welcome applications from all
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international collaborations with clinicians, regulators, policymakers, and industry partners. You must have a strong background in machine learning, computer vision, and medical image analysis, with publications
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Engineering, Science and Theory (NESTiD) Scientific Computing (SciComp) Vision, Imaging and Visualisation (VIViD) We are ranked 4th in the UK in the Complete University Guide 2024. For more information, please visit our
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in the research and management of the Computational Materials Discovery group. You supervise and guide students at the bachelor, master and PhD level. You contribute to the teaching activities in
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fundamental questions in bioscience, and translate that knowledge into societal benefits. Our strategic vision, Healthy Plants, Healthy People, Healthy Planet , sets out our ambitious long-term goals
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About us The UCL Institute for Global Health (IGH) is at the heart of UCL’s Grand Challenge of Global Health. The Institute’s vision is for a world where international policy on global health is
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The University of Surrey is a global community of ideas and people, dedicated to life-changing education and research. We are ambitious and have a bold vision of what we want to achieve - shaping