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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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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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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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: 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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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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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
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meaningful program of work that includes literature reviews, field research, data analysis and scientific writing. The role also involves preparing ethics applications and presenting research findings
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Experience working with geospatial data Desirable technical requirements: Experience with the ISSM ice sheet model or other ice sheet models Experience with the UM and/or ACCESS-AM2 atmosphere model, or other
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early-career researcher eager to build a strong foundation in high-impact scientific inquiry and data-driven discovery. The successful candidate will be integrated into an established research group
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Factors, patient safety, healthcare quality and clinical research or systems improvement; Demonstrated skills in qualitative or mixed methods research, data collection and analysis; and Knowledge of Human