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Field
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statistical and computational methods publish findings, present at conferences, and contribute to grants, ethics submissions, and research reporting build collaborations, translate research into clinical
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research synergies and network within and outside the Daffodil Centre research groups About you hold a PhD or equivalent post-graduate qualification (desirable to be in public health or epidemiology
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clinical and translational research maintain clear and comprehensive documentation of methods, data analyses, and findings for future reference and knowledge sharing contribute to, and assist in the joint
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data-driven modelling methods for renewable energy integration. Research Outputs and Funding: Publish high-quality research outcomes, contribute to milestone reports, collaborate on competitive research
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the goal of protecting 30% of lands and waters by 2030. The successful candidate will have a PhD in conservation science, applied ecology, decision science, marine ecology, environmental science or a closely
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-quality research using large-scale healthcare datasets, applying statistical, machine learning and natural language processing methods to address clinically relevant questions. The role will contribute
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researcher and primary point of contact for the project designing, collecting, and analysing data using appropriate computational, experimental, or corpus‑based methods preparing manuscripts and contributing
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You Completion, or near completion, of a PhD in Bioinformatics, Data Science, Computational Biology, Immunology, or a related discipline. Demonstrated expertise in bioinformatics, statistical analysis
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analysis, and modelling using appropriate research methods. Participate in and/or present at conferences and/or workshops relevant to the project as required. Regularly present updates to the UNSW supervisor
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The University of Sydney School of Health Sciences is seeking an outstanding behavioural economist in intensive care unit clinical trials (Level B) with strong quantitative and qualitative research methods skills