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under real-world conditions to verify system operation against targets and demonstrate the reliability of the technology for use in backup power, grid stabilisation, and renewable energy integration
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their application clearly which they are familiar with and their degree of expertise). Experience of geo-coded data analyses and Propensity Score Matching would also be relevant. Expert interviews will also form part
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are provided in Arts and Humanities, Built Environment, Brain Sciences, Engineering Sciences, Education, Laws, Life Sciences, Mathematical & Physical Sciences, Medical Sciences, Population Health Sciences and
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Electronic Health Records research group for a medical statistician/epidemiologist to work on a highly innovative research collaboration with University of Hong Kong, funded by Innovation and Technology
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research or industry experience will also be considered. Good statistical and analytical skills are necessary, ideally with the ability to work in R and experience with bioinformatic tools/software. Coding
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UCL Mechanical Engineering has been a global leader in engineering education for over 170 years. As the UK’s first department of its kind, it introduced innovations that shaped modern engineering
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with current methods in this area is essential, as is the ability and knowledge to help develop new methods. The postholder will be working within a team of three at King’s College London that is working
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Machine learning/AI based classifiers Proficiency in coding using R and Python and other similar languages High level analytical capability Ability to communicate complex information clearly Informal
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the supervision of Prof Amedeo Chiribiri within the Department of Cardiovascular Imaging, School of Biomedical Engineering & Imaging Sciences, King’s College London. About The Role Applicants should be medically
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University of Nottingham Ningbo China is seeking to recruit a Senior Research Fellow in Magnetic Resonance Imaging (OUTSOURCED) in the Department of Electrical and Electronic Engineering. Your