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Field
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This PhD project will focus on developing, evaluating, and demonstrating advanced data analytics solutions to a big data problem from aerospace or manufacturing system to uncover hidden patens
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Are you passionate about artificial intelligence, data analytics, and cutting-edge engineering applications? Join our interdisciplinary research team and contribute to the future of Non-Destructive
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the question ‘how close to failure is the asset?’. By integrating a suite of state-of-the-art sensors and monitoring technologies with data fusion and AI analytics, this research will enable timely
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Skills Background in biochemical or chemical engineering, biotechnology, or microbial processes. Hands-on experience in fermentation, microbial cultivation, and analytical techniques (HPLC/GC). Familiarity
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bone cells toward regeneration. These will be characterised using AFM and rheology, followed by immune–osteogenic co-culture studies to evaluate mechanotransductive signalling. The resulting data will
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information on its usage. Analytics CookiesOnOff About this tool(Opens in a new window) Skip to main content Find a Job Find PhDs Career Advice PhDs by Email Advertise a Job Recruiters Find a Job Find PhDs
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, including but not limited to computer science, data science, engineering or mathematics, who are passionate about machine learning and AI research. Strong analytical thinking, problem-solving skills, and the
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. This is further hindered by a lack of diverse big data resources and matched, powerful analytical tools. As a result, progress in the field has been characteristically slow over the last 50 years
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such as environmental science, ecology, geography, engineering, and data analytics. Essential: A strong academic background (2:1 or above, or equivalent) in a relevant subject; Experience with statistical
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the research. They will conduct relevant systematic and/or meta-analytic reviews to describe the current literature and inform their research. They will undertake qualitative data collection and analysis and use