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: Computational materials modeling: DFT, molecular dynamics, phase-field modeling, or multiscale simulations. Data-driven materials discovery: ML models for property prediction, materials design, or synthesis
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practices. Read more about our benefits and what it is like to work at SLU at https://www.slu.se/en/about-slu/work-at-slu/ WIFORCE Research School Do you want to contribute to the future sustainable use
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/articles/s41467-024-49299-6 https://www.nature.com/articles/s41590-022-01208-z As a PhD candidate in our group, you will study and model the biomechanical chain of events following (blast) impacts
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details can be found at https://www.net-zero-fibe-cdt.eng.cam.ac.uk/ The project is funded in collaboration with Ramboll and Buro Happold who work across diverse projects with key clients focused
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an intelligent and predictive monitoring system for telecommunications tower infrastructures. The proposed solution will use information collected through specific sensors installed on the infrastructures, which
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, economical, environmental and social assessments; develop new H2 services and port business models; development of the decision support tool to facilitate selection of H2 technologies. Furthermore
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: This project investigates how variation in social behavior shapes cognitive and brain evolution. Teleost fish are an ideal model due to their exceptional diversity of social phenotypes. We will compare brain
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oxide ores of varying quality and mineral associations. Research will focus on process design and analysis with a strong emphasis on ore characterization. At a later stage, predictive models for size
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enablers for predicting and reasoning about dynamics and transport patterns, in turn being of key importance for a broad range of human activities. The research in the PhD project will focus on core spatio
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, or predictive modelling. • Experience working with secure research environments (e.g., TREs, data enclaves). Applicants should send the following documents during the application: a. Cover letter highlighting