381 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "University of St" "St" research jobs in Australia
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, e.g. surveys, literature reviews, data gathering and/or recording of results using appropriate research methods. Participate in and/or present at conferences and/or workshops relevant to the project as
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organic analysis in complex biological and environmental matrices, using GC-MS/HRMS and LC-MS/MS, including sample extraction, calibration, QA/QC, and data reporting. Operate, maintain, and troubleshoot
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information. The opportunity CSIRO Early Research Career (CERC) Postdoctoral Fellowships provide opportunities to scientists and engineers who have completed their doctorate and have less than three years
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management of data Base Salary $103,185 - $111,237 (pro rata) + 17% superannuation About the opportunity The Research Assistant will work closely with the main researchers on an exciting Discovery project
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to the design and development of research protocols, ensuring timely execution of research activities assisting with data collection and analysis, ensuring data quality and accuracy coordinating with the team
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innovations were once considered impossible until someone, just like you, joined us and took on the challenge. Visit CSIRO.au for more information. The opportunity CSIRO Early Research Career (CERC
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biology and advanced quantitative data analysis. The role will involve the design and management of research databases, analysis of large and complex clinical and molecular datasets, coordination with
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data collection activities including participant recruitment, interview facilitation, and focus group coordination in accordance with Monash ethics protocols Conducting rigorous qualitative and
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support systems · assist on AI‑enabled clinical decision support projects, including examining how clinicians use AI in real clinical contexts · undertake qualitative and quantitative data
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requirements of the role and how your skills and experience will ensure your success in the role. Further information is available by contacting Professor Karla Canuto on (07) 4232 1570 or via email to