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at the intersection of numerical analysis and scientific machine learning, focusing on the development of reliable, physics-aware AI frameworks. The aim is to build a mathematically grounded approach for approximating
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Description of the workplace The position is placed at Solid State Physics at the Department of Physics, a division with around 100 employees where extensive research is carried out centered
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are required for the project: Expertise in experimental x-ray imaging Experience in theory and analysis of tomographic data. Excellent written and spoken English. When appointing a postdoctoral researcher, the
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solid knowledge of and show interest in mathematical analysis, partial differential equations and related subjects and is expected to have completed related courses. Documented knowledge in kinetic theory
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. The project will develop fundamental theory and tools that will be key for understanding biological mechanisms causing diseases that are due to gene dysregulation, such as cancer. The core of the project is a
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distance learning as well as hybrid based teaching and learning; documented knowledge of research methodology and theories applied in informatics/information systems; experience in applications
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the division of Geoscience and Remote Sensing we conduct research to tackle global environmental problems and to understand processes of the Earth system. We develop sensors, gather and analyse data
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. Documented experience of research on old age and ageing and current knowledge of the subject area and its theories and methodology, and of the research field, nationally and internationally, is a requirement
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analysis Deep understanding of community ecology concepts and theories Experience of ecological modelling Competence in data analyses in R and Python Supervision of undergraduate students Teaching activities
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The Department of Urban and Rural Development conducts undergraduate and postgraduate education, research and collaboration. About 175 people are employed in five divisions. The department is the