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100%, Zurich, fixed-term Are you an ambitious postdoctoral scientist with strong analytical and numerical skills, and expertise in geomatics, remote sensing, and data processing? We invite you to
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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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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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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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) 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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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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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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magnetoresistance and polaronic transport. This project aims to develop novel computational frameworks to understand and predict the structure of such materials. Job description You will develop computational methods
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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