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The role will engage in cutting-edge translational research that develops computational models for predicting outcomes in cardiac diseases. This includes a machine learning model to rule out heart
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prototyping with access to Lancaster's high-performance computing facilities. Essential Requirements • PhD in Machine Learning, Computer Science, Computational Neuroscience, or related field
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The job information is shown below. Please click on the links to see full details. Joining our Digital Learning team, you will work closely with our Senior Learning Technologist to play a proactive
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Robust machine learning using information theoretic approaches for damage detection in complex machines (C3.5-ELE-Esnaola) School of Electrical and Electronic Engineering PhD Research Project
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improvements in machine learning (ML) applications now allow researchers without extensive programming backgrounds to implement advanced image-processing techniques using accessible programming languages and
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The Library, Information & Digital Services Department is looking to recruit a highly motivated and dedicated Learning Technologist to provide maternity cover for the current post holder. With
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Contract Type: Fixed term until 30/11/2026 The Library, Information & Digital Services Department is looking to recruit a highly motivated and dedicated Learning Technologist to provide maternity
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hardware configuration, conduct Hardware/Software requirement analysis, embed cybersecurity, develop software development, and embed Data Science and Machine Learning capabilities. Specifically
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Job Summary – Good quality, functional learning spaces are essential to ensuring the best learning and teaching experience for our students and staff. This role will assist learning space programmes
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Topologically constrained physics-informed machine learning for modelling complex spin textures (S3.5-COM-Ellis) School of Computer Science PhD Research Project Competition Funded Students Worldwide