25 parallel-computing-numerical-methods-"Multiple" Fellowship positions at University of Sydney
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high-dimensional features, including efficient computing practices and rigorous quality control. demonstrated multi-omics analytics experience across multiple platforms (including proteomics
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leadership within a program of research focused on fetal alcohol spectrum disorder design, lead and contribute to qualitative and mixed-methods research projects conduct rigorous literature reviews, evidence
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program research team participate in the design of fieldwork and data gathering plans with Professor Gibson and other Laureate program team members, and conduct research to address the sub-projects’ aims
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, interpretation and reporting (publications and presentations) develop new research ideas with the team apply for research funding to support the program manage complex and varied reporting requirements build and
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researchers, or clinical trainees, and supporting their development in systematic reviews, evidence synthesis, epidemiology and research methods · strong computer literacy, including statistical software
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multiple research and clinical stakeholders, and preparation and communication of research outputs. Your key responsibilities will be to: conduct original research independently or as part of a team
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contraceptive use and other reproductive factors influence health outcomes. • leading a program of collaborative research examining skin cancer prevention and early detection in Aboriginal and Torres Strait
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+ 17% superannuation About the opportunity This position offers an opportunity to join a dynamic research team focused on multisectoral food systems policy and public health. Our research programme is
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an outstanding Research Fellow to join the Autoimmune Rheumatic Diseases Research Program within the Faculty of Medicine and Health. This is an exciting opportunity to contribute to impactful research that aims
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, producing high‑quality publications, conference papers, and contributing to competitive funding applications · lead components of a broader program of research focused on AI‑enabled clinical decision