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other alpha-synucleinopathies. The work may also include using existing and/or developing new methods for data analysis together with other researchers, and possibly some involvement in handling and
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industry links and diverse environment create a collaborative setting where ideas grow into real impact. At the division of Data Science and AI , we develop data-driven methods and AI solutions that support
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researcher and to create the opportunity of further development. Detailed description of the work duties, such as: Develop and implement GPU-accelerated thermal runaway models and numerical methods in OpenFOAM
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of clinical science, intervention and technology (CLINTEC), has developed a method to produce retinal pigment epithelial cells (RPEs) for the treatment of age-related macular degeneration. Transplantation
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for implementation in finite element simulations of material failure. These models will be applied to study the ductile-to-brittle transition in HSLA steels. Qualifications Requirements A doctoral degree or an
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Do you want to contribute to the future of AI-driven electric transport systems? Join our research group to develop advanced machine learning methods for electromobility, focusing on energy-aware
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understudied. Current methods used to quantify climate vulnerability are also often not directly comparable between embryos and later life stages, which has further limited our ability to identify critical
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in the development and exploitation of X-ray and neutron methods for materials research and in, amongst other things, research into understanding the coupled electrochemo-mechanical processes of solid
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are united in our efforts to understand, explain and improve our world and the human condition. Geographic Information Science is the interdisciplinary study of theories, methods, and technologies
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education across the entire product development lifecycle, from early concepts to industrialization. Together with industry, we develop methods and tools that enable robust, sustainable products while