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? If so, then Norland is the place for you. Our TEF Gold-rated award-winning early years undergraduate degree and integrated diploma programme is world-renowned for delivering outstanding teaching, learning
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) for engineered microbial strains. Design and implement machine learning algorithms to predict strain performance and optimise metabolic pathways. Integrate multi-omics datasets into computational workflows
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candidate will: Develop genome-scale metabolic models (GEMs) for engineered microbial strains. Design and implement machine learning algorithms to predict strain performance and optimise metabolic pathways
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have an opening for a Senior Digital Learning Designer (SDLD) in our innovative Digital Learning Team, supporting the College of Arts, Technology and Environment (CATE). As a team, we are committed
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machine learning model to rule out heart attacks in the emergency room, which has the potential to translate to large savings for healthcare systems in the world, (2) a computational modelling to assist in
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Learning and Teaching Administrator ( Job Number: 26000196) Department of English Studies Grade 4: - £25,844 to £26,663 per annum (pro rata) Open-Ended/Permanent - Part Time Contract Duration: N/A
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computer systems which support learning. Your teaching will be informed by a combination of practical experience and/or research to support high quality learning and teaching, experience of using Virtual
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About the role We are looking for a Learning Technologist to join our established digital education team to support the Faculty of Medicine with the configuration of relevant learning technology
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background knowledge in statistical genetics, machine learning, omics data analysis, and computational biology. Additional knowledge in transcriptomics, statistics, and foundation models is also desired. Fixed
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second in the UK for research power and first in England. About the role The project will be carried out at the Department of Computer Science, in the Machine Intelligence Lab (https