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on various agricultural innovations. Your key responsibilities will include research design, fieldwork, and quantitative data analysis. The role offers ample scope for developing and implementing innovative
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biomolecules. Proficiency in programming or scripting for simulation and data analysis, along with experience using high-performance computing environments, is required, and experience using structure prediction
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, the Professor of Primary Care and System Integration, and key industry partners including the National Multidisciplinary Primary Care Research, Policy and Advocacy Consortium. The role involves in-depth analysis
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, psychometric validation, ethnographic methods, and interpretivist qualitative analysis. The successful candidate may be required to complete a number of pre-employment checks, including: right to work in
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to the position, including linking data across different sources, data management and manipulation, data analysis, and preparation of statistical result reports. Collaborate in enhancing the quality
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the traditional food chain. You'll also play a key role in shaping methods for sample collection, analysis, and data interpretation, working in partnership with local communities, industry stakeholders, and
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soils and food products, including the traditional food chain. You’ll also play a key role in shaping methods for sample collection, analysis, and data interpretation, working in partnership with local
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familiarity with or experience in secondary data and its analysis. Demonstrated experience analysing and reporting quantitative data and/or qualitative data. Life at QUT We're committed to building a culture
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projects including complex data analysis (e.g., telemetry or genetic data) and paper writing The candidate will be working remotely (i.e. off-campus) providing excellent work flexibility Position Overview
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handling and processing of human blood, and sample labelling for flow cytometric analysis. Key responsibilities will include: Research: Plan and conduct laboratory work within an established research group