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studies on carotid atherosclerosis, offering unprecedented opportunities for both scientific and clinical impact. The project setting and DDLS Research School Data-driven life science (DDLS) uses data
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social issues that require more knowledge. In order to both sustainably use and safeguard forest biodiversity, a coherent basic science research program is needed that addresses large and complex issues
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an engineering or natural sciences area/subject sufficiently relevant for the third-cycle education project in question. We are looking for someone who preferably, for example, has a a MSc degree in building
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largest at SLU within social sciences, humanities and design. This position will be placed at the Division of Rural Development, which conducts research, teaching and collaboration that focuses on issues
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of Information Technology website . The project will be led by Professor Carolina Wählby , within the Image Analysis unit of the department’s Vi3 division, working alongside researchers developing numerical and
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third-cycle courses. The last day to apply is May 30, 2025. Project description and tasks: The PhD student will carry out research in the analysis of Partial Differential Equations as part of a project
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research activities in stormwater management. The research is both theoretical and experimental with elements of computational technology and mathematical modelling and is based on close collaboration with
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The doctoral student project and the duties of the doctoral student This Data Driven Life Sciences (DDLS) PhD project focuses on probabilistic models of protein structure, which can be used primarily
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well as strong communication skills in the context of research. Candidates should have a Master’s degree in biology, ecology or forestry, with relevant focus based on the project to be undertaken (for example
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Are you passionate about advancing sustainable mobility solutions? Do you enjoy working at the intersection of artificial intelligence, optimization, and energy management? We invite applications