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network and customer engagement with machine learning”. Qualifications Applicants should have: (a) an honours degree or an equivalent qualification, preferably a master’s degree or above; and (b
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given to those with research experience in drone delivery optimization, machine learning, reinforcement learning and operation research. Applicants are invited to contact Prof. Siyuan Feng at telephone
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development initiatives, and fostering industrial and academic partnerships. He/She will teach undergraduate and postgraduate courses in areas, such as AI applications in media and journalism, human computer/AI
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. Members of the Department have expertise in optimization and optimal control, engineering computation, operational research, management science and statistics, FinTech, data science and machine learning
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expertise in optimization and optimal control, engineering computation, operational research, management science and statistics, FinTech, data science and machine learning. There are currently 51 academic
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VR-based tasks to study user cognition and creative performance; • process and analyse EEG data using advanced signal processing and machine learning techniques; • evaluate cognitive load
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. The successful candidate will be able to teach one of the undergraduate courses related to AI/ML, programming languages, data structures and algorithms, operating systems, network security, visualization, and
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publications in high-impact venues. Experience with machine learning frameworks (e.g., PyTorch, JAX) and / or computational materials methods is essential. Additionally, the candidate should possess an excellent
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leader in the project - “Exemplary learning, teaching and assessment practices in UGC-funded institutions in the age of GenAI”. He/She will be required to: (a) manage the logistic and administrative
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well as experience in applying deep learning and machine learning algorithms for pathogen identification, drug target prediction, antimicrobial drug discovery, and/or protein-protein interaction studies. They should