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no mature, general-purpose solvers. Computing an equilibrium of a multi-agent noncooperative game amounts to solving a large-scale generalized equation, and available solutions rely on restrictive assumptions
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structure – function relationships in lipid systems for drug delivery (predominantly lipid nanoparticles). The group has extensive expertise using large scale research infrastructures to study lipid systems
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are robotics for mines, construction sites, aerial inspection of aging infrastructure, multi-robotic search and rescue, multi sensorial fusion and multirobot coordination, including multirobot perception
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on the construction of multi-scale molecular health and disease network and develop AI-based analytical infrastructures to inform precision medicine-based decision support. The position entails collaborative work
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techniques targeting these codes. Our aim goes beyond raw performance tuning; we use a multi-disciplinary approach to redesign key algorithms for modern HPC architectures while establishing energy efficiency
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of transport‑related emissions. In both positions, the overarching ambition is to extend large‑scale transport simulation models into next generation transdisciplinary frameworks that integrate energy, emission
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-level computational model of the human cell. The program is led by Jan Ellenberg, Director of SciLifeLab and Mathias Ulhen, Director of the Human Protein Atlas, together with a collaborative, multi
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model of the human cell. The program is led by Jan Ellenberg, Director of SciLifeLab and Mathias Ulhen, Director of the Human Protein Atlas, together with a collaborative, multi-institutional
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points in complex biological systems, uncovering stress-response fingerprints. Translate complex, multi-scale data into biological insight and contribute to a predictive, systems-level understanding
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. The successful candidate will have strong problem-solving skills, be able to work effectively in a multi-disciplinary and international team and have excellent communication abilities. This is an exciting