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of research dissemination, as evidenced by peer-reviewed (or equivalent) publications and conference presentations. Proven previous experience in statistical analysis and reporting of research data
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art and visual cultures of East Asia and related diasporic communities. Under the mentorship of the Chair, the Fellow will pursue independent, high-impact research while contributing to UNSW’s growing
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 1 month ago
research methods. The ideal candidate will have expertise in experimental and survey research design, advanced statistical analysis (e.g., multi-level modelling, mediation/moderation analysis, longitudinal
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, and reduce harm. The Research Fellow will support this large-scale, multidisciplinary program through research design, data management, and analysis. The role includes merging and validating survey and
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will include: 1. Research Lead and contribute to research on green energy investment and trade (e.g., solar PV or EV manufacturing, solar PV and EV trade), in Asia, including data collection and analysis
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informatics proven experience in original research and scholarly activity experience in next-generation sequencing data analysis or integrative analysis of multi-dimensional data high-level skills in
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, and manage data analysis. They also collaborate with researchers and stakeholders to ensure a seamless flow of research documentation. Your key responsibilities will be to: Contribute to the design and
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‑zero mission and supporting sustainability targets by performing techno‑economic analysis of various Power‑to‑X conversion pathways. The position places particular emphasis on modelling end‑use scenarios
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producing publications, conference papers, and seminar presentations. The post-doctoral fellow will support academics on the Australian Research Council Discovery Project, “Macroeconomic Analysis
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and collaborate with Distribution Network Service Providers to integrate economic analysis, power system modelling and optimisation to support scalable, evidence‑based deployment strategies. This is a