747 web-programmer-developer "https:" "https:" "https:" "https:" "https:" "https:" "University of Kent" Fellowship research jobs in United Kingdom
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Obstetricians at Liverpool Women¿s Hospital with broad ranging interests in all aspects of obstetric care from development of new technologies through to randomised trials of complex interventions. The successful
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work on the development and implementation of methods for improving small area modelled human population estimates. The successful candidate is expected to have strong quantitative skills and experience
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Dominick Shaw on des21@le.ac.uk As part of the University’s ongoing commitment to professional development, this role will also be considered on a seconded basis for existing staff members. Please ensure
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has recently been awarded the Platinum EcoAward. Our vision is to embed the principles of sustainability into all aspects of our individual and collective work, integrating sustainable development
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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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-impact research aimed at understanding how neural circuits shape behaviour. The role offers substantial scope to influence experimental direction, develop innovative approaches, and contribute
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sustainable development into our business planning, policy-making, and professional activities. This commits all of our staff and students to take responsibility for managing their activities to minimise harm
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practice for all members of the community, whilst also working towards developing an equitable working culture in which all staff can achieve their full potential. We welcome applications from all qualified
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, simulate, and analyse ecosystem service models using GIS, remote sensing, and field data. Manage, process, and analyse ecological and socio-economic datasets to develop and calibrate high-accuracy ecosystem
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Biomechanics Digital Twins for Personalised Medicine”. The central aim of the project is to accelerate the development of digital twins of the heart, primarily by decreasing the time taken for parameter