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Field
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Candidate should have: Recently earned a doctoral degree in nutrition, public health, epidemiology, physiology, global health, maternal child health, or related field within the last 5 years. Strong written
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difference. We’re seeking someone with a PhD (or equivalent experience) in health research, epidemiology, statistics, or health services research—someone who thrives in a mixed-methods environment and brings a
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have exceptional resources to facilitate research including access to administrative, research, and computer support staff. Required Qualifications* PhD degree or equivalent in epidemiology, gerontology
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pests and pathogens. Research Project: The participant will collaborate with veterinary medical officers, statisticians, economists, and ecologists specializing in epidemiology, risk analysis, disease
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of Informatics, Uni-versity of Oslo, and will be part of a growing research agenda at the intersection of epidemiology, statistical modeling, machine learning and public health data systems. The project aligns
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) in causal inference (e.g., statistics, econometrics, epidemiology, bioscience, data science), or a relevant quantitative discipline. Essential Application Understanding of non-randomised studies and
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of epidemiology, statistical modeling, machine learning and public health data systems. The project aligns with recent developments at the HISP Centre at UiO, which is expanding its long-standing DHIS2
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women’s reproductive health, leveraging on biomedical science, digital medicine, translational clinical work, public health and epidemiology, and health communication and public outreach. Appointments will
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sciences, epidemiology, psychology, sociology). Evidence of a strong track record of research outputs in high-quality, peer-reviewed journals/outlets relevant to the discipline. Demonstrated impact and
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doctoral degree (e.g. Doctor of Medicine, PhD, or equivalent) in a relevant discipline, such as epidemiology. • Experience with systematic review and meta-analysis. • Quantitative data analysis skills