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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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inference methods, survey design, and/or machine learning Experience with web scraping and API-based data collection Organizational and coordination skills, such as assisting in drafting terms of reference
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patients Experience with clinical data collection Familiarity with epidemiological methods and registry-based research, epigenetic analyses or machine learning. Interest or experience in science
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registry-based research, epigenetic analyses or machine learning. Interest or experience in science communication and public engagement Experience with publishing biomedical papers Experience with open
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the basis for the post as research scientist: The researcher will be a member of the research group of which the topic/project belongs to The salary shall if possible be 100 % covered by external financing
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Scandinavian language must be uploaded at Jobbnorge. The closing date is Octo2025/12167ber 25th 2025. The application must be marked: 2025/12167 Applications sent by e-mail will not be evaluated. General
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-mail: eystein.sverre.husebye@helse-bergen.no (tlf: 55973078) Diversity is a strength that enables us to solve our tasks even better. UiB therefore needs qualified employees regardless of gender
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departments. Questions about the position Christian Haug Eide, Professor, Phone: +47 55583393, E-mail: Christian.Eide@uib.no Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/286387
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: 2025/12167 Applications sent by e-mail will not be evaluated. General information: General information: Detailed information about the position can be obtained by contacting center leader Christoph