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Field
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on individual paths and preferences. The PhD candidate will have the opportunity to develop unique datasets and apply quantitative and mixed-method approaches to address policy-relevant questions
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well as their social and cultural determinants, with applications in key areas such as education, health and industry. At the interface between experimental psychology (social, cognitive and developmental) and
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the ARS Mayotte teams to present their findings and develop their research project. Additionally, they will have the opportunity to engage with national networks in mathematical epidemiology modeling
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missing and incomplete symptom data can introduce bias and worsen existing inequalities. This PhD will develop innovative statistical and machine learning approaches to understand, model, and overcome
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areas in which they would like to develop further expertise. Job description As a doctoral researcher, you will develop a dissertation in applied macroeconomics, public finance and/or political economy
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artificial intelligence, aiming to develop innovative approaches for predictive mapping of swelling clays and clay shrink-swell susceptibility. Candidates should have strong quantitative skills and a keen
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fields of ecosystem research and landscape ecology, especially in the Alpine region in the context of global change. Independent teaching Training and further education Administrative tasks Writing
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We are seeking a creative and highly motivated Research Assistant/Associate to join Dr Somenath Bakshi's research group in the Department of Engineering. The project aims to develop quantitative
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interpret experimental data using appropriate statistical and analytical methods. * Prepare technical reports, sponsor deliverables, and progress updates. * Publish research findings in high-impact peer
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education to enable regions to expand quickly and sustainably. In fact, the future is made here. The Department of Business Administration at the Umeå School of Business, Economics and Statistics is looking