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(e.g., remote sensing and Geographic Information Science [GIS]), Environmental Change and Sustainability, and Cities, Culture and Society. The Department's scholarly work is supported by a Cartographical
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. Qualifications Applicants should: (a) have a good honours degree in Information Systems, Data/Business Analytics, Computer Science or other related disciplines; (b) have three or more years of relevant work
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interdisciplinary areas. Research fields of particular interest include, but not limited to: biomedical science and engineering veterinary science computer science and data science neuroscience and neural
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research in the state-of-the-art areas in artificial intelligence, natural language processing, large language models, and computer vision; (2) secure external competitive research grants in various funding
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interdisciplinary areas. Research fields of particular interest include, but not limited to: biomedical science and engineering veterinary science computer science and data science neuroscience and neural
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(R3) Application Deadline 6 Aug 2026 - 00:00 (UTC) Country Hong Kong Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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Aug 2026 - 00:00 (UTC) Country Hong Kong Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
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Researcher (R3) Application Deadline 6 Aug 2026 - 00:00 (UTC) Country Hong Kong Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Lingnan University is one of the eight publicly
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Responsibilities work on the research projects related to photonic or neutral atom quantum computing, and quantum information/simulation under co-supervision of Profs. Zidan Wang & Xianmin Jin coordinate theoretical