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criteria in the Job Description. We are seeking candidates with a PhD in epidemiology, biostatistics, or data analytics with a strong track record of working with local electronic health record datasets
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approach towards artificial intelligence that uses the natural dynamic behaviour of physical systems (such as light and electronics) to process information efficiently. You will work at the intersection
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-time 3D mapping on compact, low-power devices. The project will combine optical sensing, event-based vision, and radio-frequency (RF) data with advanced AI to build robust mapping systems for challenging
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health data streams to support operational response during major incidents. The central hypothesis is that timely integration of syndromic surveillance, emergency care activity and contextual data can
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geochemical field data and backed by numerical modelling of the lithium system. The focus is on small-scale volcano-sedimentary and closed basin sedimentary systems in Chile and the USA with existing geological
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, especially chemical engineering or another closely related engineering subject. Enthusiasm for research, the ability to think and work independently, excellent analytical skills and strong verbal and written
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in porous geological formations. The successful candidate will develop and implement computational models, validate them against experimental or field data where available, and contribute to the design
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A large volume of data are routinely captured in high-performance training and competition environments. Whilst these data have the potential to inform key performance decisions, the full potential
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Research Associate* £37,694 - £46,049 Research Assistant: £33,002 - £35,608 An exciting opportunity has arisen for a new analytical role in the Cardiovascular Epidemiology Unit (CEU), Department
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, seminars, publishing support, and conference participation, as well as opportunities to engage with practitioners through thought-leadership activity, developing a powerful mix of research, analytical, and