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Field
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ability to deal pleasantly and effectively with a wide range of people in a teaching and learning context Computer literate, including Word, Excel, Outlook, shared online documents, video conferencing
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Early-stage failure prediction in fusion materials using machine learning CDT in Developing National Capabilities for Materials 4.0 PhD Research Project Directly Funded UK Students Prof Christopher
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knowledge of machine learning and AI, large scale data analysis and expertise in scripting language will stand you out amongst your peers. For all our roles we are searching for those who will be passionate
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Postgraduate qualification in a relevant subject area and actively working towards completing a PhD or the equivalent in professional qualifications and experience. Have a commitment to excellence in education
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We are looking for an organised, proactive individual to help in this varied role. The Learning and Development Coordinator will work within the CAM Doctoral Training Partnership [DTP] to provide
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Artificial Intelligence and Data Science Programmes has modules in Natural Language Processing, Applied Machine Learning, Neural Networks and Deep Learning as well as Machine Learning for AI and Data Science
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working at the intersection of AI, NLP, machine learning, and robotics, frequently tackling real-world challenges such as assistive technology, healthcare, and safe conversational interaction. You will join
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Overview This PhD project will take a comprehensive approach to exploring how corporate sustainability disclosure practices evolve in response to the integration of Machine Learning (ML) within
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invites applications for one post of Assistant Professor (Lecturer or Teaching Fellow) in Computer Science/Computer Systems to join at its exciting new campus in Leipzig, Germany. Located in one
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? To answer these questions, the postholder will be primarily working with metagenomic data from diet interventions, using machine learning to predict genomes, functions and ecosystem states (similar to