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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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on the specific questions addressed, approaches may include mammalian cell culture, molecular and cell biology, genetic perturbation, imaging, epigenetic and chromatin profiling, and in vivo models of early
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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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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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leading cause of heart failure and sudden cardiac death in young adults. While often caused by faults in heart muscle proteins, how these genetic changes lead to heart thickening, scarring and electrical
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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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mechanistically using an epithelial cell model. This interdisciplinary project provides training in developmental biology, bioinformatics, spatial transcriptomics, cell culture, imaging and molecular genetics