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verified by proof assistants. Our vision is to unlock the combined potential of humans and artificial intelligence (AI) for the rapid and reliable construction of digital systems, guided by rigorous
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employing staff who bring unique perspectives to our department. What we offer A collaborative, international research environment that combines high academic standards with an informal and supportive
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scientific staff, 20 administrative staff, and approximately 1,200 students. Our research combines theoretical and applied work with a focus on both scientific excellence and societal impact. We collaborate
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biodiversity indices from local data. Across these domains, the project combines epistemic, ethical, ontological, and historical-philosophical perspectives. It asks, for example: How do choices about data
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the ERC Starting Grant research project “Exploiting Nanopore sequencing to discover what microbes eat (NanoEat)” with the aim to combine state-of-the-art metagenome sequencing with state-of-the-art data
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the ERC Starting Grant research project “Exploiting Nanopore sequencing to discover what microbes eat (NanoEat)” with the aim to combine state-of-the-art metagenome sequencing with state-of-the-art data
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structural reliability for real-world adoption. This is a high-impact position at the intersection of AI, materials science, and structural engineering - combining lab-based research, data-driven design, and
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characterize new thin-film materials identified by AI and by physics-based first-principles calculations, with the goal of finding suitable properties for light trapping, i.e., a combination of high refractive
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can use and combine various cutting-edge data modes such as single-cell ATAC-seq, single-cell RNA-seq, spatial gene expression, and whole-genome sequencing. The candidate will get the opportunity
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transcriptomics and bioimaging to study human liver biopsies and advanced, preclinical models. A combination of wet-lab and computational biology, close ties to the clinic, and a wonderful team of early career