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postdoc to join its research team studying the political economy of low-carbon technologies (LCTs) and climate policy. The PET group adopts an interdisciplinary, mixed-method approach grounded in political
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. The selected candidate will hold the first artistic practice-based PhD position at ETH. The position assumes both practical and theoretical outcomes. The ideal candidate: Has a background in art, architecture
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not have been awarded a title of PhD (Applicants who have successfully defended their doctoral thesis but not yet formally been awarded the doctoral degree will not be considered eligible.) Workplace
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the world’s largest tropical wetland. To do so, we will sample greenhouse gases, peatland soils, and lake sediments, and we will analyze these using isotopes, biomarkers, and DNA-based methods. This PhD student
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challenges. The work is conducted at the interface of mechanics, artificial intelligence, and computational science. The developed methods will be validated on benchmark problems and real-world data and
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scientist holding a PhD in physics or astronomy, with a strong background in software development and machine-learning applications, demonstrated through contributions to open source projects and production
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of machine learning, AI, and cancer genomics. Our lab develops novel machine learning methods to understand biological systems and cancer, with a strong focus on genomics and translational impact. We work in
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-view images. Job description Develop and improve methods for 3D garment reconstruction from multi-view image data Research and implement techniques for appearance capture and material modeling, including
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apply bioinformatics and statistical genomics approaches to characterize trait-associated sequence variation. We offer two PhD positions at the interface of computational and statistical genomics, and
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the implementation of ecological processes, such as regeneration, mortality, and natural disturbance regimes, while ensuring rigorous testing, documentation, and integration within a collaborative software development