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or equivalent qualification and is expected to establish an internationally recognized research program in the field of physical inorganic chemistry. Research methodologies may include, but are not
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child development up to adolescence. By combining multidimensional molecular data with integrative computational methods, the professorship's research will contribute to a systems understanding of human
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science journey, from the collection and management of data to machine learning, AI, and industrialization. The Center comprises a multi-disciplinary team of data and computer scientists and experts in
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candidate, your research will focus on developing and applying advanced computational methods for Bayesian inference and model calibration. Your main tasks will include: Investigating and developing novel
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) necessitate advanced software capabilities. Key functionalities of the HoloPython tool will include: Efficiently handling and managing large data volumes. Performing numerical reconstruction of holograms
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the SVT course programme Contributing to the operation of the group and the Institute Profile You ideally have a Master’s degree in computer science, artificial intelligence, transportation engineering, or
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materials. The Computational Mechanics of Building Materials (CMBM) aims to understand and predict mechanical failure in materials and structures. By combining numerical modeling tools with tailored
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100%, Zurich, fixed-term TLC group at ETH is looking for dedicated and hard-working synthetic chemists who would like to research on making new polymers . We synthesize macromolecules by new methods
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, so extra shelf life, to economical advantages. Perform an end-to-end supply-chain assessment method to map tradeoffs for different cooling technologies for selected stakeholders to get a holistic view
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at ETH Zurich and associated with the ETH AI Center. We are an interdisciplinary group at the intersection of chemistry and computer science. Our mission is to accelerate chemical discovery using digital