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Sep 2025 Financing yes Type of Position Full PhD Working Language German Required Degree Magister (Masters degree course) Master Areas of study Sociology, Social Science, Economics Description
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Financing yes Type of Position Full PhD Working Language German Required Degree Magister (Masters degree course) Master Areas of study Sociology, Social Science, Economics Description Description As part of
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hiring date is as early as December 1, 2025, but can be anytime in 2026. The PhD student is expected to develop and apply statistical methodology for causal inference in observational and experimental data
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relevant data for the above described technology development and its feasibility test, the PhD candidate will also design medical research experimental protocol for both healthy control population and target
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profiles. A successful implementation and completion of this PhD project will provide vital information for making a step change in our hydrogen economy, opening the door for making a lasting impact
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offering PhD positions for students with a background in data science, computer science, computational science, or a domain science with a strong focus on computational science and an interest in training
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to incorporate additional field data. This PhD project offers a great opportunity to work with large-scale biodiversity and climate datasets, develop strong analytical skills, and collaborate with international
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groups using, for example, questionnaires or interviews As a PhD student on this project, you will have the opportunity to work with a team of experienced researchers, clinicians, and data scientists
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about the PhD fellowship, please contact the principal supervisor. General information about PhD study at the Faculty of SCIENCE is available at the PhD School’s website: https://www.science.ku.dk/phd
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. The principal goal of the PhD project is to develop component models with a greater physical accuracy and predictive capability by employing state-of-the-art methods for the following two modelling approaches