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Field
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lead advanced statistical analyses integrating ecological datasets with spatiotemporal modelling frameworks. The work will contribute with evidence-based data to development of ecosystem-based
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, electron microscopy, material testing, and physical simulation machine (Gleeble). Research on AM is conducted mainly experimentally and through modelling and simulation to understand, develop, and improve
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the EU’s ambitious AI Factories initiative. Learn more: https://mimer-ai.eu/about-mimer/ , https://www.naiss.se , https://eurohpc-ju.europa.eu/ai-factories_en The position Do you want to work at the
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leading international technical university, we play an active role in advancing the transition towards a sustainable society. At KTH, you have the opportunity to grow and develop in a creative and dynamic
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candidate will lead advanced statistical analyses integrating ecological datasets with spatiotemporal modelling frameworks. The work will contribute with evidence-based data to development of ecosystem-based
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of the Protein Evolution group at the Department of Experimental Medical Science, Lund University. Her research group works with computational sequence and structural analysis of microbial genomes and proteins
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to national environmental and climate goals as well as to the Sustainable Development Goals. We are situated at Campus Ultuna in Uppsala and in Skara. Read more about the department here (https://www.slu.se/en
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University This recruitment is also connected to the Wallenberg Initiative Materials Science for Sustainability (WISE, https://wise-materials.org ). WISE, funded by the Knut and Alice Wallenberg Foundation, is
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also connected to the Wallenberg Initiative Materials Science for Sustainability (WISE, https://wise-materials.org ). WISE, funded by the Knut and Alice Wallenberg Foundation, is the largest-ever
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, chloroplast biology, or protease biology Ability to work independently and collaboratively in an international research environment, with a strong drive to take ownership of the project and develop their own