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The open PhD candidate position aims at mining the knowledge needed for describing fluidized-bed cyclic reduction and oxidation of iron. Such a process aims at aiding the decarbonization of the heat
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reduction and oxidation of iron. Such a process aims at aiding the decarbonization of the heat and power sector. The research entails a combination of state-of-the-art experimental methods and modeling
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during hornification mechanisms and fiber drying, which can lead to new drying strategies for pulp and more recycling cycles for recycled fibers. Deeper insights may suggest new or modified drying
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from energy-efficient and environmentally friendly processes. Aqueous batteries based on widely available elements such as Na, Fe, and S hold considerable promise but face significant challenges with
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– this involves for example data-race freedom, ensuring atomicity, and correctness under synchronisation. There are several examples of how these two aspects of computation can be tackled together, for example
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participating in the DARPA SUB-T challenge with the CoSTAR Team lead by NASA/JPL. Duties As a PhD student you will perform research with substantial theoretical and experimental components that should be
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Team lead by NASA/JPL (https://costar.jpl.nasa.gov/ ). Subject description Robotics and artificial intelligence aim to develop novel robotic systems that are characterized by advanced autonomy
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The future of life sciences is data-driven. Will you lead that change with us? Apply now!
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are also called force fields (FF). We have developed a ML-FF for carbon and iron that can be used to model the catalytic growth of carbon nanotubes, which we want to extend to include more elements, like
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, both orally and in writing Experience as lead-author on multiple scientific articles in the relevant fields. Of interest: Experience with functional validation of causal mutations and their effects