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in the global carbon cycle and have the potential to mitigate greenhouse gas emissions by oxidizing methane, even at atmospheric concentrations. The research will investigate how interactions between
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machine learning Write research papers, articles, and present results at leading international conferences. We publish in venues such as ICML, NeurIPS, ICLR, JMLR, AISTATS, and more Interact with national
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engineering applications. Empa's Centre for X-ray Analytics develops X-ray analytical and imaging methods for understanding materials structure in material, life- and medical sciences. This is a joint PhD
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that are currently hindering the transformation of agri - food systems, including high land and labor costs, path dependencies, and low demand for plant - based food alternatives, including high land and labor costs
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nano-scale objects Designing and building a coherent low-energy electron microscope Sample preparation and recording holograms Numerical reconstruction of the sample structure Presenting the results
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yields while fostering dependencies, land concentration, soil degradation, and water pollution. Despite their lack of sustainability and resistance from some farmers, synthetic fertilizers continue to
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protein-DNA interactions) Produce stable complexes between proteins and/or DNA Determine structures of proteins/complexes Design mutants and perturbations for in vivo experiments Perform in vivo functional
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-world energy applications, the project aims to better capture the dynamics of urban infrastructures across different spatial and temporal scales, from building-level energy demand to district-scale
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Perform experiments in PSI laboratories and at synchrotron radiation facilities, data processing and analysis Optimization and automation of reaction parameters, correlation of the structural data with
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-world energy applications, the project aims to better capture the dynamics of urban infrastructures across different spatial and temporal scales, from building-level energy demand to district-scale