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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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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
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data science methods to build explainable and integrated machine learning models that can be utilised by health services to make real-time, data-informed clinical decisions in youth mental health care
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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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Researcher in FPGA-based AI Hardware Acceleration who has: strong experience in FPGA design, machine learning or a related field in the case of the Postdoctoral Research Associate, a PhD (or near completion
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of recruiting talent aligned to these values. We are looking for a Postdoctoral Research Fellow who has: a PhD (or in near completion) in the relevant fields of Artificial Intelligence, Machine Learning, HCI
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engineering, aerospace design and manufacturing, flight mechanics and dynamics, propulsion, and/or aerospace numerical methods including machine learning, in a university of similar standing to the University