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and Cell Identity, relevant for stem cell biology and cancer. The position will be within the Molecular Signaling and Bioenergetics group headed by Prof. Mathias Ziegler. About the project/work tasks
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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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1 September 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
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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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) 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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personal qualities: Required Qualifications MA degree (or equivalent) in political science or economics (thesis must be submitted by the deadline) Documented record of advanced quantitative methods skills in
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values change over time and subject to which factors phylogenetic analyses of evolutionary trajectories across cultures Main supervisor will be Prof. Dr. Andrea Bender (UiB); co-supervision will be
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and written English is required, see documentation requirements for further details. The applicant’s personal suitability for the position is a significant factor in the evaluation. Applicants whose