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, including research design, ethics approval, data collection, analysis, reporting, write academic papers, industry reports, research communication articles, develop and deliver research outputs and tools
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rising heat conditions. It aims to understand worker experiences, uncover key pressures, and propose climate-aware frameworks for better work. This role will focus on the ethnographic component of
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methodology and facility development. PhD (or equivalent) in a relevant field with extensive proteomics research experience. Advanced expertise in mass spectrometry techniques and data analysis software. Strong
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contributions to their discipline. They will have gained high-level experience with a research component through studying and researching in a number of different institutions, and have professional experience in
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. Experience with CAD tools (e.g., SolidWorks, Fusion 360) for component layout, mechanical integration, or prototyping. Excellent communication, collaboration, and project ownership skills. Desirable Criteria
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similar. Skills in control theory, estimation, perception pipelines, and multi-agent coordination. Experience with CAD tools (e.g., SolidWorks, Fusion 360) for component layout, mechanical integration
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these data with multi-omics datasets to identify regulatory or metabolic bottlenecks. It involves statistical analysis and systems modelling, and close collaboration with strain engineering and bioprocess
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their expertise and emerging research profile in the chemical analysis of bioactives of importance to agricultural production and their application to animal science for industry outcomes. This role is based
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Territory 2601, Australia [map ] Subject Area: nonlinear partial differential equations and harmonic analysis Starting Date: 2025/11/05 Salary Range: $87,135 - $134,507 per annum plus 17% superannuation Appl
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women. Perform advanced statistical analysis of cohort studies and meta-analysis of published literature to achieve project outcomes specified in the project work plan. Prepare applications for data