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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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frameworks (e.g., PyTorch, JAX) and / or computational materials methods is essential. Additionally, the candidate should possess an excellent command of written and spoken English and demonstrate the ability
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quantum phenomena in strongly correlated systems; Analytic or numerical methods of quantum many-body systems and non-equilibrium systems; Quantum field theory; Modeling and calculation of solid-state
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project - “Research on methods for distributed workshop scheduling considering loading efficiency”. Qualifications Applicants should: (a) have an honours degree or an equivalent qualification; (b
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, Computer Science and must have no more than five years of post-qualification experience at the time of application; (b) have research experience in multimodal data fusion, video / image processing, and structural
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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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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
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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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Department of Computing Postdoctoral Fellow (Ref. 250929003) [Appointment period: four months] Duties The appointee will assist the project leader in the research project – “Intelligent virtual
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- “Research on methods for distributed workshop scheduling considering loading efficiency”. Qualifications Applicants should: (a) have an honours degree or an equivalent qualification; (b) have experience