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combines academic freedom with strong institutional support, interdisciplinary expertise, and ties to European research networks. The postdoc will have significant freedom to shape and develop their own
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focuses on combining novel genome engineering tools (e.g., CRISPR-based) and computational algorithms to enable regenerative cell therapies. Now, we are seeking a highly driven postdoctoral researcher
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of today’s most challenging materials — in particular, advanced battery materials and solid–liquid interfaces. By combining state-of-the-art instruments such as electron microscopy and atom probe
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focus on two main lines of research. The first concerns the modeling of general dark matter–electron interactions in detector materials. This will be achieved by combining methods from particle and solid
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and complex information spaces, for example in biochemistry, humanities, or software engineering. Our vision is to attack the big data challenge by a combination of human-centered data analysis and
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materials — in particular, advanced battery materials and solid–liquid interfaces. By combining state-of-the-art instruments such as electron microscopy and atom probe tomography, the project aims to push the
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Wildfire frequency and severity is expected to increase in the future due to anthropogenic climate change. With the combined effects of climate change, an increasing human population and the
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the environment affects estimates of heritability, mean fitness, and selection, and thereby potentially the predictability of trait evolution. To do so, we combine quantitative genetic experiments in a newly
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, physics), as well as research groups and large-scale facilities across Europe. The work will be guided by chemical heuristics in combination with theoretical predictions from symmetry analysis, electronic
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on two main lines of research. The first concerns the modeling of general dark matter–electron interactions in detector materials. This will be achieved by combining methods from particle and solid state