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elements of the heathland mountain flora. Heathlands are a key component of the prehuman vegetation mosaic of central Madagascar and Erica species play an important role in their natural fire ecology
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of diversity in South Africa and Madagascar. In Madagascar, 35 currently recognised species form common elements of the heathland mountain flora. Heathlands are a key component of the prehuman vegetation mosaic
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equivalent in the field of Health Economics, Economics or any other degree with major in health economics. Specialisation in methods of economic evaluation is an advantage. Experience from relevant research
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practical organization of study activities Data analysis using advanced statistical and epidemiological methods Writing and publishing scientific articles in peer-reviewed journals Presenting findings
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statistical and epidemiological methods Writing and publishing scientific articles in peer-reviewed journals Presenting findings at national and international scientific conferences Communicating research
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comprehensive databases combining nationwide Norwegian health and socioeconomic registry data, biobanks and patient-reported data. Using advanced epidemiological methods, causal inference and machine learning
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epidemiological methods, causal inference and machine learning techniques, we aim to: Improve understanding of risk factors for primary headaches Predict diagnosis and disease progression Identify the most
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significant factor in the evaluation. Applicants whose educational qualifications are from countries other than Norway must provide a certified translation of the diploma and transcript of grades to English or
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The applicant’s personal suitability for the position is a significant factor in the evaluation. Applicants whose educational qualifications are from countries other than Norway must provide a certified translation
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to undertake a PhD project. Fluency in both oral and written English is required, see documentation requirements for further details. The applicant’s personal suitability for the position is a significant factor