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Field
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. The post holder will have the opportunity to be involved in cutting-edge bespoke neuroimaging technology [3T/7TfMRI-EEG fusion] and advanced data analytics to uncover and predict patterns in large multimodal
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, meaning that familiarity with one or more cloud-based platforms such as Google Earth Engine, Microsoft Planetary Computer and/or Amazon Web Server/similar is essential. It will also involve the development
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Postdoctoral Research Associate in Organic Chemistry and Nickel Catalysis ( Job Number: 26000113) Department of Chemistry Grade 7: - £38,784 per annum Fixed Term - Full Time Contract Duration: 8
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About Us The Centre for Rheumatic Diseases at King’s College London is an internationally recognised Centre of Excellence for rheumatology research, spanning health data science, clinical trials
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data science techniques to model and classify population health risk and disease dynamics at multiple spatial and temporal scales. The PDRA will lead the development of novel approaches for managing
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We are looking for an enthusiastic and highly motivated Postdoctoral Researcher to join our dynamic research team in the exciting, interdisciplinary field of plasma-liquid interaction. This is a unique opportunity to contribute on new horizon research investigating how an optical plasma...
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About the role Applications are invited for a Postdoctoral Research Associate in Organic Chemistry to work under the supervision of Professor Yimon Aye for a period of up to 12 months. The project
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Months Rewards and Benefits: 33 days annual leave, plus 9 buildings closed days for all full time staff (Part time workers should pro rata this by their FTE). Use our total rewards calculator: https
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on combining theoretical and computational approaches (including data-driven mathematical models, tools for identifiability analysis and uncertainty quantification) to understand fundamental aspects
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will focus on combining theoretical and computational approaches (including data-driven mathematical models, tools for identifiability analysis and uncertainty quantification) to understand fundamental