50 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "NORTHUMBRIA UNIVERSITY" positions at University of Liverpool
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identification framework. The role involves developing a species-agnostic computational pipeline that integrates cutting-edge deep learning methods - such as AlphaFold2 and FoldSeek -to enhance protein function
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academic collaborators, you will contribute to cutting-edge research in artificial intelligence, multimodal learning, and machine translation. The role involves developing and fine-tuning large-scale
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similar methods, see: https://pubmed.ncbi.nlm.nih.gov/40659219/ . Key responsibilities and duties: - To lead on online participant recruitment. - To lead on data collection. - Data handling and management
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The Malawi Liverpool Wellcome Research Programme (MLW; https://www.mlw.mw) and the University of Liverpool seeks a senior mathematical modeller to establish and lead a team of mathematical modellers
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The Malawi Liverpool Wellcome Research Programme (MLW; https://www.mlw.mw) and the University of Liverpool seeks a data scientist at a professorial level to establish and lead a team of data
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The opportunity The University of Liverpool is a key partner in a £14 million initiative ( https://tinyurl.com/yc5z768m ) to develop a sustainable, next-generation manufacturing facility, using
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transformation of society in western Europe (GREEKWEST)', which is funded by an ERC Starting Grant and hosted in the Department of Archaeology, Classics and Egyptology ( https://www.liverpool.ac.uk/archaeology
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transformation of society in western Europe (GREEKWEST)', which is funded by an ERC Starting Grant and hosted in the Department of Archaeology, Classics and Egyptology ( https://www.liverpool.ac.uk/archaeology
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transformation of society in western Europe (GREEKWEST)', which is funded by an ERC Starting Grant and hosted in the Department of Archaeology, Classics and Egyptology ( https://www.liverpool.ac.uk/archaeology
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experiments in gelatine (https://doi.org/10.5194/egusphere-egu25-9211). This model will be tested with analogue experiment results from the MAGMA Lab, run by other members of the project team. The second