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(CEDRN). This role will focus on developing and piloting ED-based surveillance methods, generating high-quality data to inform public health decision-making, and advancing national capacity for future
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powered by: Cookie Information Nettsiden bruker cookies Vi ønsker at du skal være trygg når du bruker dette nettstedet. Vi benytter cookies for å sikre at du får en best mulig brukeropplevelse og
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methods. It may also include quantitative data analysis. The post-holder will take a role in all stages of this process, from conceptualisation to data collection and analysis, as well as writing up and
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meaningful global impact. This is a research focused position. Further information can be found by viewing UQ’s Criteria for Academic Performance . For further information, please click here to view
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powered by: Cookie Information Nettsiden bruker cookies Vi ønsker at du skal være trygg når du bruker dette nettstedet. Vi benytter cookies for å sikre at du får en best mulig brukeropplevelse og
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investigator and Career Consultants in the Careers and Employability Service on data interpretation, benchmarking and report writing. This includes gathering and systematic analysis of large-scale
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and campus. Position Information Full-time, benefits eligible, temporary position. This is a 12-month appointment beginning July 1, 2026 (possibly renewable for a second-year contingent upon performance
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Position Description We are seeking a Research Fellow with an undergraduate or masters degree in Biomechanics, Kinesiology, Movement Science, Physiology, or Biomedical Engineering, to assist with data
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In this role you will develop cutting edge AI approaches to help researchers identify scientific information in historical manuscripts. Specifically, working with the Royal Horticultural Society
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use the algorithms in practice, when little to no assumptions can be made on the data. Required Qualifications PhD in computer science, mathematics, statistics, or related fields (by the start date