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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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2026. The successful candidates will be employed in a full-time (100%) position for a period of three (3) years, with the time required to complete the training component of the organized research
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) Documented record of advanced quantitative methods skills in R and Python, specifically Experience with GIS and spatial data analysis Experience with natural language processing or text-as-data approaches
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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 in
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requirements for further details. 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
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be fluent in written and oral English and Norwegian Experience with international collaboration is an advantage The applicant’s personal suitability for the position is a significant factor in the
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chambers, and political polarisation. The results will be new digital tools, analysis methods, and content types for the future of media. The centre performs research training within media technology and