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regeneration, leveraging state-of-the-art chemical biology tools and established tissue injury models, in particular, the use of versatile regeneration-competent zebrafish models and is funded by Academy
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models of mechanotransduction. Research projects are highly interdisciplinary, aiming to integrate in vitro biochemical and cell biological techniques with in vivo models and clinical samples. Recent
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novel neuroprotective strategies. You will utilise in vivo rodent models of neurodegeneration in combination with sleep/circadian clock modulators to develop an in-depth understanding of consequences
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effects. You will contribute to the numerical modelling part of the project, which will benefit from novel element level and centrifuge testing experimental results. You will set up and validate numerical
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, activation, and effector functions in preclinical models of autoimmunity. This research is part of a broader effort to define how inhibitory receptors tune T-cell responses in health and disease, ultimately
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to reconstruct the tree-of-life on Earth, it allows us to reveal how biological function has evolved and is distributed on this tree, and it is the foundation that enables us to use model organisms
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, economics, environmental science). You will bring expertise in food systems modelling, supported by a strong technical background that may span areas such as data science, input–output analysis, applied
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for carrying out research to develop iPSC-derived lung cell models. Working within a team of biochemists, cell and structural biologists, you will perform experimental work to apply omics technologies, advanced
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navigation algorithms and machine learning models on physical robot platforms. We are particularly interested in candidates with expertise in generative AI and curriculum learning applied to robotics, as
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interactions. We’re Looking for Someone With: Strong expertise in protein structure prediction, molecular modelling, and docking. Proficiency in LINUX, bash scripting, and high-performance computing environments