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research networks such as the Centre of Data and Statistical Science for Health (DASH) (https://www.lshtm.ac.uk/dash ) and the Multi-City Multi-Country Collaborative Research Network (https
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a recognized University. Major in power or data engineering will be advantageous. Minimum 1 year of relevant experience in the electrical engineering industry and preferably is familiar with
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research experience in experimental Physics and/or Engineering, along with significant experience in experimental aspects of liquid crystal optics, liquid crystal physics, electro-optics, active and passive
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population genetics, bioinformatics, computational biology, statistics or probabilistic machine learning and computer science. Experience of working with large genotyping or sequencing data sets A proven
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-delivered defibrillators during out-of-hospital cardiac arrests. This is a unique opportunity to be involved in an exciting NIHR-funded study that brings together cutting-edge technology, emergency care, and
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research networks such as the Centre of Data and Statistical Science for Health (DASH) (https://www.lshtm.ac.uk/dash ) and the Multi-City Multi-Country Collaborative Research Network (https
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, data science or computer science Knowledge, Skills & Experience Sufficient breadth or depth of specialist knowledge, in the application of Earth observation for environmental monitoring and management in
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campus and remotely within the UK. It is funded by Wellcome Leap until 31st August 2027. The successful applicant will harmonise and integrate longitudinal, genomic and epigenomic data to produce a world
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22 Aug 2025 Job Information Organisation/Company University of Nottingham Research Field Biological sciences » Other Medical sciences » Other Researcher Profile Recognised Researcher (R2) Country
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organised individuals with a strong commitment to research and collaborative science. The successful candidate will have a strong background in in vivo murine phenotyping and will be seeking to lead an