69 data-"https:" "https:" "https:" "https:" "https:" "https:" "UNIV" "UNIV" "UNIV" research jobs at University of Sydney in Australia
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development of research protocols, ensuring timely execution of research activities coordinate and submit grant applications, ensuring compliance with all requirements assist with data collection and analysis
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analyse data in the manufacturing process. The project is a partnership between Rux Energy and USYD and is a multi-disciplinary effort between scientists and engineers. We are looking for a Postdoctoral
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essential PhD experience in single-cell research and data analytics, ideally in proteomics or transcriptomics. The candidate should have evidence for high-impact publications, experience working with HPC
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outcomes, including mobility, reach, fidelity, dose, adoption, feasibility, acceptability and cost collect, manage and analyse quantitative and qualitative data relating to physical activity, ageing
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hours work participate in lab-based and other biobanking activities such as tissue audit, data entry, tissue QC assist with research data collection and analysis, ensuring data quality and accuracy assist
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assistance for the fall prevention modelling project lead qualitative research activities including co-design workshops, participant interviews, thematic analysis, and report writing contribute to data
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and aerosol characterisation, including: -Laser diffraction -Next Generation Impactor (NGI) -Liquid chromatography-based analyses Analyse and interpret experimental data to inform iterative formulation
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, Professor Feike Dijkstra and Professor Stephen Cattle. The successful applicant will also work closely with CSIRO scientists; including project lead Dr Mark Farrell and Dr Uta Stockmann. For more information
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datasets manage design and delivery of largescale national and international data-linkage projects, ensuring ethical oversight, stakeholder engagement and collaboration management manage randomised clinical
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to support translational outcomes and shared priorities perform quantitative and qualitative data collection, coding, analysis and interpretation, and contribute to the production of high‑quality peer‑reviewed