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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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‑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
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novel high-throughput screening method — SELection End points in Communities of bacTeria (SELECT) — with effect-directed analysis (EDA) and state-of-the-art high-resolution mass spectrometry (HRMS
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collection (e.g., interviews, observations, surveys, analysis of system‑use data) · conduct detailed qualitative and quantitative data analysis and contribute to scholarly publications · complete
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that investigate regenerative design and technology in the built environment, including developing indoor environmental quality (IEQ) assessments, undertaking analysis of multidisciplinary data, and applying