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on the candidate’s skills and interests, but may include genetically engineering microbes to change form and function, developing theory and AI methods that advance our ability to design reliable, engineered
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combine bacterial genetics, genetic engineering and experimental phage biology to perturb host physiology and test causal mechanisms. The work will include constructing bacterial strains and reporters
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simulations run on world-class supercomputing facilities alongside AI algorithms and data analytics tools, and share your results with experimental collaborators. The position is part of the Research Council
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subject from a recognised institution. A background in at least one of the following: Dynamical systems Photonics/Electromagnetics theory, design and simulations Machine learning mathematics and algorithms
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, PyTorch), Machine-learning mathematics and algorithms. Experience in Imaging systems (e.g. microscopy), and optical laboratory experiments (lasers/lenses) Funding and eligibility Open to UK, EU and
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the design, implementation and interpretation of projects utilising human genetics data. The role holder will use their computational skills and experience of using statistical genetics approaches to analyse
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microenvironment structures are associated with genomic features and clinical outcome. Nat Genet 54, 660-669 (2022). Ali, H. R. et al. Imaging mass cytometry and multiplatform genomics define the phenogenomic
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for long-read DNA and RNA sequencing, with a focus on transcript isoform discovery, alternative splicing, genetic variation and multi-omics integration in neurodegenerative disease. The role will be
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mechanistically using an epithelial cell model. This interdisciplinary project provides training in developmental biology, bioinformatics, spatial transcriptomics, cell culture, imaging and molecular genetics
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mechanistically using an epithelial cell model. This interdisciplinary project provides training in developmental biology, bioinformatics, spatial transcriptomics, cell culture, imaging and molecular genetics