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, the REF, and with collaborators at University of Manchester and City St George’s, University of London. This is an exciting opportunity to contribute to the understanding of what works to support some of
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to build and maintain strong working relationships with people within and external to the university. Self-directed learner who believes in continuous learning and development Proficient in technical writing
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and take a collaborative approach that fosters the development of professional and effective working relationships with key stakeholders. A demonstrated ability to write for publication, present
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computational cosmology research, having previously played key roles in the development of simulation techniques for dark matter, dark energy and galaxy formation, and in the establishment of the Lambda cold dark
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and Agritechnology. Research programmes are grouped in the following areas: Molecular Plant Sciences; Biomolecular Interactions; Ecology, Evolution and Environment; and Animal Cells and Systems
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join our dynamic research environment at the forefront of translational genomics. The appointee will be situated within the Genomic Informatics group which forms part of the Human Development and Health
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discipline. Experience in system development and/or 3D printing would be advantageous. In addition, you should have excellent leadership and communication skills, a strong track record in disseminating
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the design, development, deployment and evaluation of NeoShield’s applied machine-learning systems, the machine-learning-driven Clinical Decision Support Algorithm for neonatal sepsis and the real-time ward
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benefits that can be tailored to your lifestyle: Professional development and subject matter expertise Leading-edge research Working within one of the world’s leading universities Good salary Responsibility
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modelling, onboard microgrids, and energy management systems. Contribute to the delivery of project milestones across modelling, EMS development, HIL validation, and system optimization. Support documentation