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In Vitro Predictive Models to Explore Tendinopathy”. The project is funded by the Medical Research Council (MRC) and part of the organ-chip research work underway within the Centre for Predictive in
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samples and disease models. Working closely with a dynamic and multidisciplinary team of clinicians and scientists, you will help generate and interpret high-resolution datasets that reveal new insights
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experimentation, applying state-of-the-art single-cell multiomic approaches and functional genomic screens to patient-derived samples and disease models. Working closely with a dynamic and multidisciplinary team
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new understanding to bridge the gap between existing models for well-established hard and soft semiconductors. The resulting discoveries will provide a blueprint for light-harvesting materials, guiding
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resilience. We will use duckweed as a model to frame this question. In addition to being a model species, duckweed is also emerging as a promising new protein source that does not require arable land
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We are seeking a full-time Postdoctoral Research Assistant to join a cross disciplinary research project to improve our understanding of colorectal cancer. Deep learning has revolutionised image
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fields. The researcher will join a multi-disciplinary team led by Professor Vili Lehdonvirta, consisting of both computer and social scientists. Principal investigator and community The project’s principal
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that the microbiome has in providing stress resilience. We will use duckweed as a model to frame this question. In addition to being a model species, duckweed is also emerging as a promising new protein source
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and Professor of Practice Jouni Punkki. Job description Research activities will involve computational methods relying on physics-based continuum models to assess the mechanical, thermal, and acoustical
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About us The Green Laboratory investigates tissue morphogenesis and the action of morphogens. We use animal models to investigate the physical morphogenesis of tissues. It is part of the vibrant and