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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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(written and spoken) The successful candidate is expected to move to Bergen Desired Qualifications: Experience with Stata Experience with causal inference methods, survey design, and/or machine learning
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Commission under the Horizon Europe framework program. NUCLEAR brings together European leaders in the fields of metabolomics, functional genomics, chromatin regulation, stem cell biology, and cancer with
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for admission to the PhD programme. Applicants with education from a Nordic country or those with a medical degree from the EEA area and a license to practice medicine in Norway are exempt from the requirement
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to the doctoral programme, grade B or above for the master’s thesis is normally required. The applicant must have expertise in at least one systematic and analytical methodology, such as: designing, running, and
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. Addressing housing-related health risks in the USA, Vietnam, Turkey, and Ecuador, the project integrates community engagement, data science, and computational modeling. The key objectives of ComDisp