9 engineering-computation-"https:"-"https:"-"https:"-"https:" positions at Francis Crick Institute
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decision-making, quality control and downstream biological interpretation. This role would suit a computational scientist, data scientist or technology-focused researcher who enjoys applying deep learning
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to transform how complex biological models such as organoids and engineered tissues are built, monitored and analysed. Combining live imaging, automation, environmental control and biofabrication within one
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to transform how complex biological models such as organoids and engineered tissues are built, monitored and analysed. Combining live imaging, automation, environmental control and biofabrication within one
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broad diversity of metabolic adaptations and how these biological innovations can be harnessed to engineer the next generation of metabolic systems. To achieve this, we are developing two complementary
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to avoid them, while supporting best practice, training, and innovation across imaging workflows. About the CALM- STP Imaging is a core technology at the Francis Crick Institute, enabling a wide range of
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, behaviour studies, single cell analysis. Experience working with genetically engineered mouse models. Experience in international, cross-disciplinary collaborations. About Working at the Crick Our values
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Institute is a Science Technology Platform (STP) dedicated to advancing innovative research in human stem cell biology and organoid technologies. It provides specialised expertise and services that support
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, pioneering research. Creating a space for discovery without boundaries helps us to turn our science into benefits for human health and the economy. The Program This exciting research project is a cross–Francis
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combines stem cell biology, spatial genomics, AI/ML, single-cell technologies and computational biology to study how mutant cell populations interact with their surrounding tissue environment during