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engineering. We aim to unravel the logic of genome organisation and metabolic control—with the bold vision of building synthetic life. In this role, you will develop and apply computational methods to analyse
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on a new project called TRUSTLINE, which is part of the Learning Introspective Control (LINC) DARPA Program. The project aims to develop machine learning (ML)--based introspection and monitoring
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of genome organisation and metabolic control—with the bold vision of building synthetic life. In this role, you will develop and apply computational methods to analyse single-cell modalities, focusing on gene
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Experience working with neuroimaging Experience deploying deep learning models into clinical settings Experience working within a development team & associated tools (git, svn or equivalent version control
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metabolite versus direct effects, and developmental changes versus maintenance. The findings will open potential avenues to manipulate and rescue chemosensation through control of the microbial environment
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clinical challenges within hospital settings. A deep understanding and hands-on experience in user-centred design, electronic circuitry, programming, and system controls within medical contexts are highly
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maintenance. Of particular importance, the findings will open potential avenues to manipulate and rescue chemosensation through control of the microbial environment or provision of metabolites. The postdoc will
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maintenance. Of particular importance, the findings will open potential avenues to manipulate and rescue chemosensation through control of the microbial environment or provision of metabolites. The postdoc will
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this project, we will be studying co-design of robot hardware and control for robot manipulation. “Co-design” aims to simultaneously optimise the robot hand design (e.g. the number of fingers, the shapes
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working with neuroimaging Experience deploying deep learning models into clinical settings Experience working within a development team and associated tools (git, svn or equivalent version control