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) stocktake and evaluate current adaptation actions; (b) conducting stakeholder analysis; (c) designing and conducting interviews, including with First Nations participants; (d) data analysis and synthesis
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unique data collection opportunities, including large-scale agricultural household surveys, measurement experiments (such as DNA fingerprinting for plant variety identification), and impact studies
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(ESF). They will be involved in planning, data collection, data analysis, model and framework development, supervision, report writing and the communication of results to industry and through peer
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microorganisms, using data from field and laboratory experiments that include functional trait measurements, plant and microbial physiological data, and genomic data. The aim of the project is to link
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colleagues, and uphold university values. This is a research focused position. Further information can be found by viewing UQ’s Criteria for Academic Performance . About UQ As part of the UQ community, you
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for the manufacture of computer chips. The project is supported by the Australian Research Council Linkage Project “Innovative Double Patterning Strategies for Integrated Circuit Manufacture” and is within
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 3 months ago
to work with a world class University that undertakes cutting edge research and has a strong tradition in research-led teaching excellence. We offer: For more information on a range of lifestyle, financial
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the school environment impacts teacher gender bias. As the successful candidate you will be responsible for data collection & analysis, research design, contribute to the preparation of research papers, work
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more information will be provided throughout the recruitment process. Enjoy an outstanding career environment The University is a uniquely rewarding workplace. The size, breadth and quality of our
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using statistical analysis. Experience in project management and working on field projects in the parenting field, and/or experience in working on large scale projects using administrative data. Relevant