122 parallel-computing-numerical-methods-"Simons-Foundation" positions at THE UNIVERSITY OF HONG KONG
Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
duties (e.g. procurement, IRB, etc.) and performing any other duties as assigned. On-the-job training related to research and statistical methods will be provided. A highly competitive salary commensurate
-
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
-
) Country Hong Kong Application Deadline 31 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 Is
-
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
-
methods Applicants should contact and secure mentors, one from each of FOSS (HKU) and ISR (Michigan) to get their interest and support in mentoring before making application What We Offer A highly
-
Kong Application Deadline 9 Jan 2026 - 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
-
.) Fundamental Biology & Chemistry (molecular biology, biomaterials, tissue engineering); Artificial intelligence & Data Science related to biomedicine (machine learning, computational modeling, digital health etc
-
Application Deadline 3 Oct 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 related to staff
-
Application Deadline 31 Oct 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 related to staff
-
Policy, Social Work, or related disciplines. They should have strong knowledge and skills in statistical methods and quantitative research, as well as excellent academic writing skills. Candidates must