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to match both profiles. Project background Our research uses computational methods to study legal, economic, and social-science questions at scale. Many of our projects focus on innovation, competition
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systems, and the simulation and learning methods that drive them. Our work is published in journals such as Nature and Science Robotics, and it reaches the real world through industry collaborations and
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programmes will run in parallel: (1) reconstructing the regulatory architecture of E. coli at high resolution as a foundation for predictive models of gene regulation; (2) building large-scale single-cell
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80%-100%, Lugano, fixed-term The Swiss National Supercomputing Centre (CSCS) develops and operates a high-performance computing and data research infrastructure that supports world-class science in
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and in computer architecture domains, our ability to analyze data still falls behind the unstoppable data collection rates. Data-intensive applications are increasingly more demanding in sophisticated
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of the BioValley, a tri-national region that hosts 40% of the global life sciences industry and numerous major pharmaceutical companies, the D-BSSE offers a unique environment for high-impact translational
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of the BioValley, a tri-national region that hosts 40% of the global life sciences industry and numerous major pharmaceutical companies, the D-BSSE offers a unique environment for high-impact translational
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driven by curiosity about the physical mechanisms that underlie failure and by the ambition to translate this understanding into more reliable and resilient materials and structures. By combining numerical
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of the department. The department also has a growing portfolio of work using modern computational and data-analysis methods, and a candidate bringing complementary expertise in this area would find a fertile
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strong interest in applying theoretical and computational methods to fundamental problems in materials growth. A strong background in thermodynamics, kinetics, statistical mechanics, solid-state physics