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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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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
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on infectious disease dynamics using a broad range of mathematical, computational, and experimental approaches to study the population dynamics and evolution of infectious pathogens on both the within
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soil COS, CO2, and H2O fluxes. Quantification of the leaf-scale uptake ratio of COS to CO2. Leaf-scale stomatal conductance measurements. Assessment of different methods to constrain GPP. Statistical
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, particularly technologies Have experience in conducting focus groups or other qualitative research methods Know how to manage and engage a variety of stakeholders Are enthusiastic about and experienced in
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for the assessment and optimisation of more sustainable processes and by promoting the widespread use of these methods in a great variety of applications to facilitate the transition towards a more sustainable economy
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Unit that supports the latest next generation (NGS) and single molecule sequencing methods and strategies, and provides services and training to the research groups accessing the center. The position
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the “Basisprüfung” or its equivalent with good grades. MSc students and BSc students in the fifth semester or higher are preferred, although students earlier in their program will be considered if their grades