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relevant subject (molecular microbiology, cell biology, immunology etc) * Prior experience with bacterial pathogens Proven ability to design, implement and analyse experiments Experience with eukaryotic cell
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relevant subject (molecular microbiology, cell biology, immunology etc) * Prior experience with bacterial pathogens Proven ability to design, implement and analyse experiments Advanced molecular microbiology
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to real-world actions. This is an exciting opportunity to contribute to foundational work at the intersection of AI safety and autonomous system deployment. You will be responsible for designing experiments
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design, statistical sampling and analysis of large, multi-taxa biodiversity datasets. Expertise in landscape-level biodiversity and production analyses using R, QGIS, Google Earth Engine. Extensive
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: Essential criteria PhD qualified in relevant subject (molecular microbiology, cell biology, immunology etc) * Prior experience with bacterial pathogens Proven ability to design, implement and analyse
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the University wide research and teaching goals and partner with our academics accordingly An Innovation, Impact and Business directorate that works closely with our academics providing specialist support for
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following skills and experience: Essential criteria PhD in a relevant subject (molecular microbiology, cell biology, immunology etc) * Prior experience with bacterial pathogens Proven ability to design
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the control and stability of quantum operations. Using advanced Multiphysics simulation tools, the researcher will create models of the physical and control architecture, enabling the identification of design
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assays to be undertaken efficiently within petri dish and micro-titre plate format under fluid walls. The candidate will work with other team members to develop relevant biological workflows and design
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relevant subject (molecular microbiology, cell biology, immunology etc) * Prior experience with bacterial pathogens Proven ability to design, implement and analyse experiments Advanced molecular microbiology