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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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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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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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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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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description UiB - Knowledge that shapes society UiB shall be among
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confirming receipt of your application. Please note that the automatic recognition offered by HK-dir is insufficient and will not be accepted as basis for admission to the PhD programme. Applicants with
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equivalent degree in Information Science, Computer Science, or Artificial Intelligence. They must have submitted their doctoral thesis for assessment before the application deadline. It is a condition of
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to innovations with real-world impact. Qualifications and personal qualities: The applicant must hold a Norwegian PhD or an equivalent degree within information or computer science, computational social science or
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the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description UiB - Knowledge that shapes society Through