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- University of Bergen
- Norwegian University of Life Sciences (NMBU)
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- Norwegian Institute of International Affairs
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; mathematical modelling of cancer; probabilistic modelling and Bayesian inference, stochastic algorithms and simulation-based inference; causal inference and time-to-event analysis; and statistical machine
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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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the title of PhD Research Scholar. The Department of Business and Management Science is responsible for a specialisation in the NHH PhD programme. The specialisation has two tracks: Business Economics
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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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(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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ethnomycology or ethnobiology large-scale (ethnographic) database construction phylogenetic comparative analyses with Bayesian computational tools The applicant must have the ability to work independently and in
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engineering, have at least two years of relevant research experience as a research fellow or similar, and have a strong track record in scientific publication and dissemination. Successful applicants must have
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/selectivity, and determine structures to resolve active-site architecture. Spectroscopy & intermediates. Apply UV–Vis and EPR (including stopped-flow when needed) to track metal coordination, redox states, and
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English. We can offer For the right candidate we offer unique development opportunities and mentorship as part of your role in a strong professional environment with a track record of excellence in fluid