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. Selection criteria: • Hold, or be near to completion of, a PhD/DPhil in biomaterials, bioengineering, biology, chemistry, nanotechnology, or related field • Experience establishing and
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., health and climate/environmental data) and could include a range of data science methods, such as utilising geographical information systems (GIS), statistical analysis, machine learning, deep learning
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this suits a candidate with a background in optical systems / imaging, or with more experience in machine vision, or systems control and automation, or data interpretation. A candidate would not be expected
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the development of hierarchical computational materials discovery schemes combining random structure searching, machine learning, atomistic, and density functional theory (DFT) calculations to accurately and
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, ideally at postgraduate or professional levels. A solid grounding in applied data science, including statistical methods, machine learning, and Programming. Experience delivering flexible, inclusive
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skills field, ideally at postgraduate or professional levels. - A solid grounding in applied data science, including statistical methods, machine learning, and Programming. - Experience delivering
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of disseminating research to both academic and industrial audiences. Qualifications PhD (or close to completion) in Computer Science, AI, Data Science, Machine Learning, Edge Computing, Signal Processing
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have a strong knowledge of core computing topics. We are specifically seeking expertise in Machine learning Data management Artificial intelligence Data visualisation and analytics Data mining Cloud
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, supporting studies in military aircraft systems. Engaging with these facilities allows students to acquire practical skills and technical expertise, enhancing their research capabilities and employability in
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for research into thermal management and system health monitoring, supporting studies in military aircraft systems. Engaging with these facilities allows students to acquire practical skills and technical