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research team? Are you keen to expand knowledge into this field and work collaboratively across research themes? Do you want to further your career in one of the UK’s leading research intensive Universities
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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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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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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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proteins for high quality alternative protein foods including through high moisture extrusion. Key responsibilities will include: Explore innovative methods for food process optimization including the use
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Organisation: Cranfield University Faculty or Department: Faculty of Engineering and Applied Sciences Based at: Cranfield Campus, Cranfield, Bedfordshire Hours of work: 37 hours per week, normally
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or papers. Knowledge of network placement optimization for various topologies, e.g., Erdos-Renyi random network, scale-free, small world, etc, will be advantageous. key Competencies: Understand existing
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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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utilise extensive industry datasets to characterise the tectono-stratigraphic framework offshore Liverpool Bay and provide the geoscientific evidence base relevant to future optimal development of CCUS
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software components into a functioning imaging platform suitable for laboratory and pre-clinical/clinical-environment testing. Plan and execute research studies, including phantom, benchtop, and application