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capacity to work independently as well as in teams. For further information about a specific subject see General syllabus for the Board of the faculty of science and technology Further information Employment
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Computer Science, Data Science, Machine Learning, or an Engineering/Science discipline with a data science/analytics component. To apply, submit a CV, cover letter, and academic transcripts to j.carroll@strath.ac.uk
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-critical decisions in real time. These systems rely heavily on sensor data (e.g., GPS, pressure transducers, image processors), making them vulnerable to stealthy threats like False Data Injection (FDI) and
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Human Behaviour in projects targeting social good. Research at N/LAB focuses on the development and application of innovative computational methods using Big Data, Behavioural Science and Machine Learning
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about to obtain, a First or Upper Second-Class UK Honours degree, or the equivalent qualifications gained outside the UK, in Statistics, Mathematics, Data Science or Computer Science. To apply, please
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highly motivated Doctoral Research Fellow in a full time (100 %) fixed term position available for three (3) years at the Faculty of Computer Science, Engineering and Economics, Department
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or Engineering geology, Geotechnical engineering, Structural or civil engineering (Specialized in underground construction), Computational engineering or applied mathematics, Data science or Artificial
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/Computer/Mechanical/Materials/Nuclear Engineering or related discipline. • Excellent foundation in materials processing • Hands-on experience with device and system characterization. • Experience in
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace - In Partnership with Rolls-Royce PhD
generate vast amounts of operational and maintenance data, much of it remains fragmented and underutilized. Unlocking insights from this unstructured data could enable earlier fault detection, improved
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STEER (Science & Technology Entrepreneurship Education & Research) Advancing Science and Technology Entrepreneurship Education and Research through the Development of Pedagogies and Student