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institutions. You will lead the computational aspects of this exciting project by leveraging AI tools such as AlphaFold and developing novel deep generative models and/or large language models. The aim is to
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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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researchers will extend and apply the ideas of active matter physics in biological contexts, developing theories and cell-scale and continuum computational models. The work will focus on identifying physical
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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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forefront of AI and ethics. The role focuses on innovative research into the ethical governance of Large Language Models (LLMs), as part of the prestigious Divirsibus Vis Plurima Solvo project. This is a 2
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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