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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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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 review process by HK-dir may take some time. Therefore, please submit your application to HK-dir as soon as you decide to apply for the position. If you do not receive a response within the application
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implement techniques to determine nuclear NAD turnover using stable isotope labeling and mass spectrometry To establish the impact of altered nuclear NAD availability on nuclear processes, and the extent
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to investigate the cognitive and social behaviour (such as knowledge acquisition, organization, and transmission, recognition processes, or risk assessment and decision-making under uncertainty) involved in
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a grassroots scenario-planning process. • Exploring and analyzing housing and health issues under climate scenarios through interactive tools and resources. This PhD position is part of a Norway
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, air quality, and respiratory health outcomes. • Designing a grassroots scenario-planning process. • Exploring and analyzing housing and health issues under climate scenarios through interactive