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between cell biology and molecular neuroscience. We employ integrated experimental approaches, combining cutting-edge microscopy, biochemistry, omics, and iPSC-derived cell models to understand organelle
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involved in studies of cell dynamics and tissue morphogenesis during embryo development using nano-engineering, cellular and molecular approaches. Cell-type transition and tissue property changes widely
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. The project will use state-of-the-art genomic technologies to identify epigenetic determinants that lead to protein misfolding in neurons. Using single-cell technologies for in vivo mouse models as
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using mouse and cell models. Applicants must have laboratory experience and a degree in biological science. Prior animal experience would be advantageous, though training will be provided. There is the
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interest in the model system Marchantia and comparative studies with flowering plants. The aim of the project is to understand plant processes for barrier formation, cell- and tissue function etc which
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of researchers spanning multiple scientific disciplines, including molecular virology, imaging, omics and organoid infection models. This position, funded by the Wellcome Trust, offers an exciting opportunity
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developing novel statistical methodologies that enable translational and clinical application of genetic risk models. The exact project will be designed based on your research interest and the translational
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-of-the-art molecular cell biology technologies, combined with in vivo mouse models, to achieve the final goal of developing novel therapeutics for neurodegeneration. You will need to hold or be close to
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Research Assistant / Research Associate in Frontiers of Atomistic Simulation Techniques (Fixed Term)
, which brings together the materials and molecular modelling community in Cambridge, the role holder will be in direct exchange with other leading groups in the field. Furthermore, embedded in the Theory
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deep learning approaches. This is an exciting opportunity to use AI-based methods to uncover the molecular mechanisms behind gene regulation and mRNA stability. You will be part of a computational team