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), while training the next generation top scientists, innovators and entrepreneurs. Research at MSN is organized in different research clusters including Energy Transition, Surface Technology and Metallurgy
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Systems will participate in the research efforts of developing systems integration, analysis, design, control, and/or optimization models and algorithms for smart energy systems to enable smart and healthy
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on the fundamental understanding and process optimization of an electrochemical cell system incorporating redox-flow electrodes and ion-selective membranes for Lithium purification. The goal is to selectively remove
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hand, forest trees take decades to mature, meaning that the seedlings begin their growth in a different kind of environment compared to the one they face as adults. How will the current forest tree
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been shown to accelerate and improve the training procedure of SNNs by defining new cost functions that are differentiable and easier to optimize. They can also handle quantized weights, e.g., using
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case is central to this position. SimMobility is based on activity-based mobility modelling theory, simulating agent-level behavior such as route, departure-time, and mode choice within an activity-based
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current projects in 7 different species. The candidate will learn analytical techniques, including high-resolution re spirometry, multiplex assays using MesoScale Discovery, cryosectioning and
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% of the territory, and hosting critical natural resources and ecosystems. However, rural areas in the EU are remarkably diverse due to biogeographical and geopolitical situations, facing different sustainability
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additional year of teaching duties, depending on the applicant's competence and teaching needs of PSI. The planned start date is September 2025. The goal of LCBC is to understand differences and changes in
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information is lost through this depreciated sampling frequency remains unknown. DETERMINER aims to determine the optimal sampling frequency for detecting externally driven phytoplanktonic change while also