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models of cell migration, with a focus on the microtubule cytoskeleton and microfluidic assays. You will also perform analysis and optimisation of models in the lab. At this level it is expected that you
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biology and advanced quantitative data analysis. The role will involve the design and management of research databases, analysis of large and complex clinical and molecular datasets, coordination with
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sequencing, proteomics, and secretomics datasets. Responsibilities include integrative analysis of complex molecular data, interpretation of cellular response mechanisms, and close collaboration with
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 23 days 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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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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, 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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analytical chemistry, particularly GC-MS analysis of trace volatiles Good communication and problem-solving skills Knowledge in data analytics (python or R) is desirable Knowledge in atmospheric chemistry is
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Project. This exciting role offers the opportunity to work at the interface of chemistry and biology, contributing to cutting-edge research that aims to covalently attach redox-active transition metal
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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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producing publications, conference papers, and seminar presentations. The post-doctoral fellow will support academics on the Australian Research Council Discovery Project, “Macroeconomic Analysis