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pathogens in the hospital environment, spanning all aspects from sampling to sequencing to bioinformatics analysis. This should include experience in developing and optimizing laboratory protocols
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matching, optimal transport or cell-cycle modelling. Key Responsibilities These include but are not limited to: Leading an independent research project in scientific machine learning and mechanistic
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interpret high-resolution single-particle cryo-EM data Operate the cryo-EM microscope Produce biomolecular complexes by molecular biology techniques Optimize sample production and purification, as
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and gradient-based optimization methods in optimization of complex structures are significant. The knowledge of programming languages, numerical methods, material properties including their tribological
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the scale of the single gene to field evaluation to define a framework for rational optimization of plant-mycorrhizal symbioses for more efficient P use in agriculture. The modelling component will
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of Palliative Care within the Division of Primary Care, Palliative Care, and Preventive Medicine, is part of a consortium to deliver AI4HOPE (Artificial Intelligence-based Health, Optimism, Purpose, and Endurance
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mechanisms within potential CO2 storage complexes. Consequently, optimal deployment of CCUS solutions relies upon a robust understanding of fault network architecture in the subsurface. This project will
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at Cambridge University and in Germany and the US, we will work from the scale of the single gene to field evaluation to define a framework for rational optimization of plant-mycorrhizal symbioses for more
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testing. To select the optimal design against a range of technical and commercial factors To be involved in establishing intellectual property rights. To evaluate appropriate manufacturing processes
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of biological catalysts and materials with potential for optimization through directed evolution. Postdoctoral candidates should have experience in synthetic or chemical biology and/or microbiology, ideally with