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Biology Institute and the AI & Robotics team building multi-modal generative models of whole organisms, starting with Escherichia coli in order to understand and predict an organism's phenotype from
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addressing the global challenges encapsulated in EIT’s Humane Endeavours. Job Summary We are building a joint experimental computational team focussed on building, training and validating multi-modal
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validating multi-modal biological models. The team will: i) generate experimental perturbation and measurement data at scale, ii) build multi-modal biological models and, iii) use the experimental data
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systems to rapidly traverse evolutionary landscapes Evolution of complex, multi-gene phenotypes Engineering plug-and-play selection systems for continuous evolution of diverse phenotypes Learn more
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. Yet we currently lack the tools to build one from scratch and control its transmission. Our research tackles the core challenges in synthetic chromosome engineering: centromere design, faithful mitotic
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large microbial genome stretches. Research will focus on i) evolving complex, multi-gene traits within a single experiment, ii) building selective pressures that reward desired behaviours while
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large microbial genome stretches. Research will focus on i) evolving complex, multi-gene traits within a single experiment, ii) building selective pressures that reward desired behaviours while