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At the Faculty of Medicine, Department of Health Science and Technology, one or more PhD stipends in Unsupervised Learning for Medical Image Analysis are available for appointment from November 1
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, power conversion, energy and hydrogen storage, downstream processes, and energy demand, to enable more efficient, flexible, and economically viable Power-to-X operation. This position is expected to start
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-term position of three years, including merit for previous work, and is expected to start on 1 December 2026 or as soon as possible thereafter. The position is based at the Department of Materials and
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health sciences come together to improve people's lives. As a PhD fellow at HST, you will become part of an international research community with access to experienced supervisors, modern research
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. The position is fixed term and full-time and includes both research and teaching activities. The PhD scholarship is part of the research project Not Liking School: Lived Experience of School Emotions, funded by
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We hereby invite applications for one or more PhD position focusing on the development and application of hyperspectral imaging technologies for bulk forensic evidence analysis. The project aims
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-year fully funded PhD position in Artificial Intelligence, Digital Methods, and Social Science. The starting date is September 15, 2026, or as soon as possible thereafter. The position is part of a
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aspects of development, and with a focus on environmental, international as well as administrative dimensions. Job description The PhD project is a part of the research project “Drought Resilience through
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research questions, and be able to think critically and develop your own scientific ideas. Previous experience with statistical analysis, programming (e.g., R or Python), machine learning, or genomic data
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and green transitions in port ecosystems. The position is open for appointment from 15th October 2026 or as soon as possible thereafter and runs for three years. Your work tasks The PhD project