31 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"L2CM"-"L2CM" Fellowship positions at University of Sydney in Australia
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Part Time (0.4-0.6 FTE) 2-year fixed term opportunity for a Senior Research Fellow or Research Focused Academic in Mental Health Epidemiologist / Data Scientist amplify the impact of your research
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of all.” The incumbent will be highly experienced in NHMRC research projects and specifically be experienced with large healthcare data sets and possess advanced skills in intensive care research Your key
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that explore biological and behavioural factors influencing the onset, course, and response to treatment in young people with emerging mental disorders. Extensive collaborations with clinicians, data scientists
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system impairment in neuroimmunology conditions, for example via multidimensional flow cytometry and single cell data analyses. Note- the incumbent is required to be on Campus in Westmead, located within
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to the design, coordination, and delivery of engineering and computing education research projects collect, manage, and analyse qualitative and quantitative research data prepare high‑quality research outputs
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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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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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organisational skills, with the ability to work effectively both independently and as part of a team be confident using computer applications including the Microsoft Office suite and online collaboration tools
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. Strong planning, organisational, computer literacy, and interpersonal skills, with the ability to manage competing priorities effectively. Sponsorship / work rights for Australia You must have unrestricted
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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