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proteins. Experience with cell-based experimental systems, including mammalian cultured cells and with in vitro reconstitution methods, especially as they relate to membrane proteins is required. Other
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• The advancement of light-microscopy methods to peer even deeper into large tissues • The development of computational methods ranging from image processing to machine learning to analyse, segment, model, and
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are particularly welcome. AI/ML approaches are of growing importance in all areas and we encourage pioneers of these methods to apply. The positions are open to candidates whose research and teaching is focused
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program. Through this work, you will build scientific independence, develop new science and leadership skills, and establish a growing reputation externally. Your role will be to lead a research project
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axon development. However, these methods lack the resolution needed to analyse axon branching and synapse formation. This project aims to establish a high-resolution imaging pipeline by incorporating
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to publications Main Duties Collect research data; this may be through a variety of research methods, such as scientific experimentation, literature reviews, and research interviews Analyse research data as
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will develop and apply methods to transform omics data into networks and executable models, collaborating closely with experts across the Petsalaki and Sheriff groups, Open Targets, EMBL-EBI, and the
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have access to ICR’s successful PhD training programme and core facilities. Key Requirements Higher degree (MSc or PhD) in medical statistics/biostatistics or an allied field (e.g. public health
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knowledge mining platform. Main Duties Collect research data; this may be through a variety of research methods, such as scientific experimentation, literature reviews, and research interviews Analyse
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of innovative tools and technologies that advance the lab's research program. You will be part of a collaborative and diverse group dedicated to uncovering how a functional, beating heart is formed during