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dynamics, kinematics, acoustics/vibrations, fluid–structure interaction, control, or other mechanics-driven domains. Experience with applied computational methods and machine-learning–based modeling
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mathematical statistics, machine learning, coding, and algorithmics. Contribute to programme design, accreditation, and innovative teaching strategies that enhance student experience and employability. Research
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. Teaching & Curriculum Development Design and deliver advanced undergraduate and postgraduate courses in areas such as mathematical statistics, machine learning, coding, and algorithmics. Play a pivotal role
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Computational Biology, Theoretical Ecology), Statistics, Machine Learning and Data Science, and Theoretical Computer Science are especially encouraged to apply. The School has five divisions: Biological and Life
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positions in Computer Science. Faculty specialising in data science, machine learning (deep learning, reinforcement learning, multimodal learning), Generative AI, and computer graphics are especially
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candidate will lead curriculum, academic governance, and faculty capability development, embedding a culture of innovation, integrity, and student-centred learning. You will champion teaching excellence
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contribute to institutional development and capacity-building initiatives. You should apply if You hold a PhD in immersive technologies or related fields (e.g., VR/AR/MR/XR, HCI, AI for XR, computer graphics
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within the Department: information systems; business analytics; business analytics and decision-making; machine learning; digital innovation, transformation and disruption; digitally-enabled globalisation
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cutting-edge research in areas such as pattern recognition, automation science, complex systems, AI for Science, robotics, machine learning, computer vision, natural language processing, biometrics, medical
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knowledge of Microsoft Office programs or the demonstrated experience to learn such programs. Additional Information: This is a full time (100% FTE), permanent position. This position is overtime eligible