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biological measure of time. The Dodd lab uses a variety of model systems for their research, such as model plants and non-photosynthetic bacteria. The role: An opportunity has arisen for a Research Assistant
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. Ready to be part of our team? Let’s shape the future together! About the team: The Computational Materials Discovery group is looking for a postdoctoral researcher working in the field of machine learning
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morphogenesis and the action of morphogens. We use animal models to investigate the physical morphogenesis of tissues. It is part of the vibrant and supportive environment of the Centre for Craniofacial
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modelling, advanced AI algorithms, and decision-support tool development for various hydrogen technologies-based energy systems. Responsibilities will include programming, analysing and interpreting data, and
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the cellular and molecular mechanisms driving tumour development. In this role, you will support a team of scientists using genetically engineered mouse models (GEMMs) and transplantable tumour models (e.g
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and motivated candidates for a postdoctoral positions working on cutting-edge research at the intersection of Machine Learning, Privacy-Enhancing Technologies, and Public Interest Technology. We
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and leading a programme of numerical simulations relating to all aspects of our research on P-MoPAs; using particle-in-cell computer codes hosted on local and national high-performance computing
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About the Role We have an exciting opportunity for an individual to join our team, working in biomechanics. The successful candidate will create numerical models of biomechanical structures and
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About the Role The candidate will be working in the area of biomechanics. The researcher is expected to create numerical models of biomechanical structures and validate them through experimental
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of research projects on human immunity against bacterial and viral infections using human challenge models. You will support the research of Post-Doctoral Scientists, whilst obtaining training in working