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are pioneering discoveries across diseases that have the deepest impact on our community. THE OPPORTUNITY We’re seeking a motivated Statistical Genetics Postdoc (3-year role) to play a key role in our large-scale
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, scalable numerical algorithms for extracting the evolution model of the relevant dynamical skeleton, quantifying associated uncertainties. We will develop mathematical theory underpinning the novel
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traceability and species identification, including optimisation of laboratory and field-deployable protocols. Generate, manage and analyse genetic/genomic datasets using appropriate bioinformatics, statistical
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for its pioneering work on Vibrio natriegens, including the development of advanced genetic toolkits, high-throughput engineering platforms, and systems-level optimisation strategies. The group works at
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) and comprehensive maps of how genetic variation perturbs genome regulation across circulating immune cell populations. The successful candidate will take these discoveries from statistical association
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in molecular biology or genetic engineering techniques ability to learn how to conduct protein purification and characterisation ability to operate and maintain biological equipment (e.g. FPLC
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, and genetic engineering techniques relevant to plants. Experience developing or applying programmable regulators, gene-editing tools (e.g., CRISPR, base/prime editors), synthetic gene circuits, or other
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, and genetic engineering techniques relevant to plants. Experience developing or applying programmable regulators, gene-editing tools (e.g., CRISPR, base/prime editors), synthetic gene circuits, or other
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experience experience in molecular biology or genetic engineering techniques ability to learn how to conduct protein purification and characterisation ability to operate and maintain biological equipment (e.g
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, molecular biology, biotechnology, genetic engineering, or a closely related field. Demonstrated experience in molecular construct design, modular cloning systems (e.g., Golden Gate/MoClo), multi-gene assembly