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organizational goals. Designing and implementing a public health program evaluation using quantitative and qualitative data analysis methods. Reporting evaluation results using data visualization techniques
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assessments • Data analysis, interpretation, and presentation • Preparation and review of safety narratives • Presentation to internal and external stakeholders • Professional communication including verbal and
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 2 months ago
experimentation and multiparameter data analysis. The candidate will be capable of developing innovative research ideas, contributing to collaborative projects, and supporting funding applications. The School
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(see below). The Fellow will be expected to contribute to data collection and measurement, and data analysis. The successful candidate will be part of the Faculty’s PhD programme. The work is expected
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Data Analysis Center that manages multi-omic data (e.g., Illumina/PacBio/ONT Whole Genome Sequencing (WGS), RNA-Seq). The ideal candidate will have a deep understanding of next-generation sequencing (NGS
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leading research and develop skills in multi-modal mental health and neuroscience research, epidemiology, data-analysis and healthcare service research. The appointee will work directly with the MHMTC and
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Psychology, Animal Behaviour, Cognition or Ecology, Comparative Psychology, Animal Welfare, or a closely related discipline, with demonstrated expertise in the quantification and analysis of behavioural data
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synthetic biology hosts. The proposal must include a progress plan. Contact For further information about the position, please contact Group Leader Hans Christopher Bernstein: email: [email protected]
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of experimental data analysis, image analysis, and quantitative interpretation methodologies for complex materials systems • Develop robust and reproducible experimental workflows, including detailed documentation
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, planning and delivery of research activity. The role will involve theoretical and computational research, analysis and interpretation of experimental data and literature, and the production of high-quality