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the BBSRC including environmental microbiologists, ecologists and evolutionary biologists, computational modellers, and synthetic biologists. During this position, the post-holder will lead bioinformatic
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microbiologists, ecologists and evolutionary biologists, computational modellers, and synthetic biologists. During this position, the post-holder will lead mathematical modelling, bioinformatic analyses, and
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deep learning and generative AI approaches, creating synthetic virtual patient cohorts from multimodal datasets. Your work will involve designing advanced algorithms and high-throughput workflows
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this role, you will work as part of the world-class team of researchers and software developers within the PSS team to develop all or some of firmware, software and algorithms for pulsar and fast transient
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, and use smart phone apps to collect passive and active data using a prospective observational cohort study design. We will use this data to develop and validate a personalised risk prediction algorithm
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(https://doi.org/10.1111/1751-7915.70071 ). Naturally, plasmid-mediated HGT drives evolutionary innovation by enabling bacteria to gain new functions, plasmids also naturally encode a diverse array of
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, post-docs and interns collaborating across universities to build better algorithms, software tools and benchmarks to assess the safety of AI implementations at the software and hardware level. We