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at the University of Ljubljana. The HEXAPIC project aims to develop a novel high-performance Particle-In-Cell code for plasma physics simulations, leveraging the capabilities of exascale computing systems. By
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at the University of Ljubljana. The HEXAPIC project aims to develop a novel high-performance Particle-In-Cell code for plasma physics simulations, leveraging the capabilities of exascale computing systems. By
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experiments with quantitative microscopical analysis and physics-based modelling to understand how conifers solve the challenge of solute transport against the flow of water through the needle, and what
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project on Bayesian comparisons between artificial and natural representations to improve our understanding how natural and artificial intelligences process information. The project is led by Heiko Schütt
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management support, with concrete prototype, by analyzing and understanding data through models—both static and dynamic representations that capture the knowledge and behavior of a physical system. The role
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.) · Reporting to the Group Leader Is Your profile described below? Are you our future colleague? Apply now! Educational Background · PhD degree in Physics, Chemistry, Materials Sciences, or a related field
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Pneumatic Tires, Structure-Process-Properties Relationships. How will you contribute? Do you have proven skills in data analysis, machine learning, as well as in mathematical and computational modelling? You
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Pneumatic Tires, Structure-Process-Properties Relationships. As part of our Data Science strategic research program, we are looking for a Post Doctoral researcher with expertise in Knowledge Graph Engineering
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the associations and impacts of diverse dimensions of daily mobility on healthy ageing (i.e., physical health, subjective well-being, social participation and cognition), taking into account motility