77 parallel-computing-numerical-methods-"DTU" positions at THE UNIVERSITY OF HONG KONG
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Ref.: 532531 Work type: Full-time Department: Department of Physics (25600) Categories: Senior Research Staff & Post-doctoral Fellow Post-doctoral Fellow in Computational and Theoretical Condensed
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Work type: Full-time Department: School of Chinese (04100) Categories: Teaching Staff Applications are invited for appointment as Senior Lecturer in the Chinese Language Enhancement Programme (CLEP
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Chinese Historical Studies (MACHS) programme in the School of Chinese (Ref.: 532347), to commence on August 15, 2025 or as soon as possible thereafter, on a two-year fixed-term basis, with the possibility
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Ref.: 532398 Work type: Full-time Department: School of Computing and Data Science (14700) Categories: Teaching Staff Applications are invited for appointments as Lecturer in the School of Computing
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Kong Application Deadline 8 Sep 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 Is the Job
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) Country Hong Kong Application Deadline 18 Sep 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 Is
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research methods. Those with research expertise in Digital Policy and Governance, Food Value Chains and Policy Instruments, Environmental Economics, Resource Circularity, Community-level Institutions and the
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research methods. Proficiency in written and spoken English and Chinese is essential, along with the ability to work independently as well as collaboratively within a team. Experience with advanced or mixed
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should: Possess a Ph.D. in Economics, Public Policy, or a closely related discipline, with solid training in economics and quantitative research methods. Demonstrate strong research capability and a track
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for analytical methods, protocols, and reports and provide training on processes and equipment. Supervise and co-supervise undergraduate and postgraduate students. Disseminate research findings through