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focus on processing and utilising machine-learning techniques to analyse large volumes of data from sensors installed in Phase 1. The aim will be to merge the QC points and tracking system developed in
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agricultural science with a quantitative focus (or an equivalent discipline) expertise in statistical and machine learning approaches, with the ability to apply advanced methods to complex environmental and
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at the BHUDRH, is to lead the design and delivery of innovative teaching and learning environments for health students undertaking their placement in our region. We also actively work to improve the quality
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, economic growth, inequality, and culture. The project draws on large-scale data collection and archival records, and applies a diverse set of methodologies such as text analysis and machine learning
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Multiple Continuing (Tenure-Track) Academic Positions, School of Electrical and Computer Engineering
on science, medical and societal applications: Design Automation Embedded and Cyber-physical Systems Machine Learning and Artificial Intelligence Quantum Devices and Systems Robotics Security and Dependability
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Multiple Continuing (Tenure-Track) Academic Positions, School of Electrical and Computer Engineering
-physical Systems Machine Learning and Artificial Intelligence Quantum Devices and Systems Robotics Security and Dependability Signal Processing Software Engineering All positions are full-time, continuing
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has: a PhD in a related or relevant field to this project design and conduct experiments collect and analyse data, including with the use of machine learning develop mathematical models of excavation
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density) influence energy dissipation develop mathematical models to predict and explain these effects collect and analyse data, including with the use of machine learning use this knowledge to design
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societal applications: Computer Systems and Computing Infrastructures Cybersecurity and Trustworthy Digital Systems Machine Learning and Artificial Intelligence Robotics and Autonomous Systems All positions
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Cybersecurity and Trustworthy Digital Systems Machine Learning and Artificial Intelligence Robotics and Autonomous Systems All positions are full-time, continuing (tenure-track), teaching and research roles based