30 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "University of Warwick" Fellowship positions at University of Sydney
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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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Accelerator: https://www.snowmedical.org.au/vision-accelerator The successful candidate will join the Sivyer Laboratory, led by Assoc. Prof. Benjamin Sivyer, which focuses on understanding physiological and
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Research Associates / Magma Research Fellows to develop and maintain the Magma computer algebra system (http://magma.maths.usyd.edu.au/magma/ ). These positions are based at the University of Sydney in a
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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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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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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
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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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Part time (4 hours per week) fixed term for 12 months at Camperdown Key Senior Research Fellow role providing specialist information expertise in immunisation and infectious disease research
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the intervention) lead and support data collection, analysis and manuscript preparation manage the research budget collaborate with clinical and research team members present research findings through publications
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physiology and medicine to contribute to research strategy measure physiological and structural variables within cardiovascular and related functions, managing and analysing data, statistical analysis