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and prior distributions, something that has seen limited exploration and adds a novel perspective to the field of PK/PD modelling. Existing Natural Language Processing (NLP) pipelines, developed at UCL
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; Great Ormond Street Hospital for Children NHS Foundation Trust | London, England | United Kingdom | about 1 month ago
Ormond Street Institute of Child Health (primary) Dr Wendy Heywood, UCL Great Ormond Street Institute of Child Health (subsidiary) BRC Theme: Tissue Engineering and Regenerative Medicine (TERM): 4: Role
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novel perspective to the field of PK/PD modelling. Existing Natural Language Processing (NLP) pipelines, developed at UCL, will be used to collate PK/PD parameter prior distributions and ML guided PK/PD
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future and embrace a circular economy framework. The process industries play a significant role in greenhouse gas emissions, making it crucial for them to adopt sustainable practices. This includes
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nerve cells within the printed scaffolds under the guidance of Prof. James B. Phillips at the UCL Centre for Nerve Engineering (https://jamesphillips.org/ . The project aims to investigate
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Engineering, University College London (UCL) Project Description: Functional Near-Infrared Spectroscopy (or fNIRS) is an optical neuroimaging technique that uses NIR light to image the cortical brain changes
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information The Department of Chemical Engineering at University College London (UCL) is seeking an enthusiastic graduate student to work on the development of computational methods to study nucleation, crystal
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Bubble-particle systems are encountered in a wide range of industrial and environmental applications (flotation, bioreactors, slurry bubble columns) but the complex dynamics and interactions make
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(or international equivalent) in Electrical and Mechanical Engineering or related disciplines. A Master’s thesis or equivalent in Electrical Machines and industrial experience would be desirable. We are seeking
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We are seeking a highly creative and motivated Postdoctoral Research Assistant/Associate to join the Machine Learning Group in the Department of Engineering, University of Cambridge, UK. This