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(R1) Country China Application Deadline 7 Dec 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme
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associated core facilities: Drug Design, Screening & Discovery – computational chemistry, AI-assisted lead optimisation, high-throughput screening. Biomarker Discovery & Validation – proteomics, multi-omics
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, artificial intelligence, machine learning, deep learning, computer vision, natural language processing, biocomputation, nerual networks, generative artificaial intelligence, or mathematical modelling who can
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, computer vision, natural language processing, biocomputation, numeral networks, generative artificial intelligence, or mathematical modelling who can: Conduct high-quality research, evidenced by publications
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, Computer Vision, Machine Learning and Aritificial Intelligence, and Human-Centered Computing. RESPONSIBILITIES Applicants will have an adequate level of teaching experience, have published high-quality
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, of the University’s vision for Learning and Teaching. Delivery of modules on the PGCert programme. Support the development of an institutional CPD framework and ready relevant documentation for approval by
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vision for Learning and Teaching. Delivery of modules on the PGCert programme. Support the development of an institutional CPD framework and ready relevant documentation for approval by the respective
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of learning and teaching. This is mainly achieved through the delivery of institutional academic development programmes; primarily, the PGCert programme, and other Continuing Professional Development (CPD
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, specifically in the field of Power Electronics and Drives. The successful candidate will bring a proven record of achievement in research, teaching, and academic leadership, together with a clear vision for
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project management. Areas of expertise in Department of Intelligent Science: Natural language processing, Machine translation, Information extraction, Machine learning, Computer vision, Pattern recognition