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, collaborating across disciplines to tackle fundamental challenges through innovative methods, theory and critical analysis. The fellowship period is 3 years. Starting date as soon as possible and upon individual
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will be and what theories and methods you will apply. It must be clear from the application in what way the postdoctoral project will add to your competence and scientific development. The motivation
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. Integreat develops theories, methods, models, and algorithms that integrate general and domain-specific knowledge with data, laying the foundations of next generation machine learning. We do this by combining
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consisting of both control theory (or related fields) and economics (or related fields). Applicants must have experience in one or more of the topics: Model-predictive control Numerical optimization
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working in interdisciplinary research projects and team settings Excellent training in qualitative methods, econometrics, and applied microeconomic theory Familiarity with econometric software, being STATA
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the Research Council of Norway. In this project, we will use advanced time-lapse imaging, numerical simulations, and reactive mixing theories to better understand and predict the role of fluid mixing as a driver
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addressing measurement quality issues related to respondent non-compliance in ecological momentary assessment, or exploring the use of machine learning techniques to aid the estimation of item response theory
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the theories and methods intended to be used. The project proposal plays an important role in evaluating applicants and must demonstrate how the project will lead to the successful completion of a doctoral
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category/type: Research Date posted: 16/05/2025 Job reference: Q05296 Faculty of Health and Life Sciences This new full-time post is immediately available until 30 June 2026 on a fixed term basis. The post
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-compliance in ecological momentary assessment, or exploring the use of machine learning techniques to aid the estimation of item response theory (IRT) models in small samples. The ideal candidate has prior