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review where gaps are identified in knowledge or understanding of a topic To be successful in this role you will need: • Postgraduate qualification / research experience in relevant field, PhD
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health, psychology, nutrition, health sciences, epidemiology, or a related discipline demonstrated experience conducting original research and contributing to scholarly outputs knowledge and expertise
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knowledge-grounded reasoning with flexible machine learning Tools that reduce manual burden while preserving traceability and clinical interpretability This position offers the opportunity to publish novel
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skills and a record of refereed research publications. Knowledge of neuropsychology and epidemiological methods, advanced statistical analysis using programs such as R or SAS, and strong planning
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- the Norwegian Centre for Knowledge-driven Machine Learning at the University of Oslo invites applications for a doctoral research fellow in Machine Learning and Statistics. We seek a motivated researcher, who
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, and/or immunofluorescence. Evidence of scientific productivity through peer-reviewed publications and/or scientific presentations. Knowledge, Skills and Abilities: Strong knowledge of in vivo
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of low birth weight. The successful candidate will support the delivery of impactful health service research through stakeholder engagement, research coordination, data analysis, knowledge translation and
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innovative contributions to research, expanding knowledge and practice in the discipline, with a particular focus on advancing the objectives of the NHMRC Synergy Grant investigating health literacy, social
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on [email protected] . If you need reasonable adjustments or a more accessible format to apply for this job online or have any queries about the application process, please contact the IGH HR Team on IGH.HR
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T.H. Chan School of Public Health studies the frequency, distribution, and determinants of disease in humans, a fundamental science of public health. In addition to pursuing ground-breaking global