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to the active sites within the porous structures. The successful doctoral candidate (DC) will develop a microscopic model for mass transport and reaction in redox flow batteries electrodes. Within this project
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transport and reaction characteristics within the microstructure. The successful doctoral candidate (DC) will develop a microscopic model for heat transport and reaction in redox flow batteries electrodes
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multiphase flow behavior. The project also involves applying machine learning and computer vision techniques to enhance data analysis, pattern recognition, modeling, and prediction. The role requires a solid
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that lymphopenia is associated with decreased overall survival in cancer patients. Currently, there are no established methods that enable the modification of radiotherapy protocols to prevent lymphopenia without
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) of geotechnical problems, in particular coupled flow-deformation analyses and/or modelling erosion processes Main responsibilities Conduct independent research and research training (80%) Support education and
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applications towards materials science. Generative machine learning models have emerged as a prominent approach to AI, with impressive performance in many application domains, including materials discovery
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modeling molecular dynamics using our trapped Rydberg ion technology. This position is part of the ERC Synergy project "Open 2D Quantum Simulator (OPEN-2QS)", which start on 1 May 2025. The OPEN-2QS project
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as landfill. New initiatives to create a circular flow of flat glass has the potential to largely contribute to improved environmental performance of the built environment but many challenges remain
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Sweden’s national infrastructure for visualization of scientific data. Currently, InfraVis employs over 50 experts across nine universities. CIPA is Lund University’s local infrastructure for image
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according to an agreement. The application deadline is August 15th 2025. The research school for stress response modelling in IceLab Starting in the spring of 2025, Umeå University’s interdisciplinary