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- $141,283 pa Level B (plus 17% employer superannuation) Amplify your impact as Research Fellow on respiratory virus data at a top 50 university Join a collaborative team improving surveillance of influenza
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-quality research publications in econometrics or related fields. You will possess the ability to solve complex statistical problems, show advanced computer literacy with proficiency in relevant software
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extraordinary ideas - and the people who discover them The Opportunity This is your chance to join a vibrant and forward-thinking team in the Department of Data Science and Artificial Intelligence, part of
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to work independently and collaboratively. Advanced planning, time management, and written communication skills are essential, along with proven computer literacy and proficiency in relevant software and
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questionnaires. The role also supports a range of related research activities including trial coordination, participant follow-up, data management and analysis and preparation of research outputs. This position
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delivery of clinical research that directly impacts real-world care. This role is ideally suited to an early career researcher or health sciences graduate with experience in clinical data collection and
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prototype integration to translate sensor outputs into clinically relevant protein biomarker data. The role will involve laboratory-based experimentation, data analysis, and active contribution to scholarly
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demonstrate a strong commitment to confidentiality and information handling, work collaboratively with colleagues, and show proficiency in Microsoft Office and University software, with a willingness to learn
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: Providing input to grant and proposal writing Literature review Research and Analysis Design Evaluation design and implementation Data Acquisition, analysis, presentation and preparation of a range of
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include conducting qualitative interviews, facilitating focus groups and consumer co-design workshops, and contributing to systematic reviews. You'll also play a crucial role in collecting quantitative data