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. Our current projects involve large-scale web and text analysis, as well as computer vision and visual data analysis. Applicants may have experience in one or both areas described below. You do not need
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global change. Research makes extensive use of global modeling tools (GEOS-Chem and CESM) and analysis of large observational datasets. Nitrogen oxides (NOx) emitted into the troposphere contribute
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, oxygen) Use these process-related insights to develop data-driven models to predict water quality under climate change Publish your results in scientific journals and present them at national and
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The Swiss National Supercomputing Centre (CSCS) develops and operates a high-performance computing and data research infrastructure that supports world-class science in Switzerland. Its user
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that will shape higher education (Trend Radar). This work turns internal data into insights that the departments and the Rectorate can act on. We are looking for a Quality of Education Officer to lead the
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-generation DNA sequencing to quantify phenotypes Develop computational pipelines to convert sequencing data into quantitative fitness values Collaborate with a computational biology group at D-BSSE to develop
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100%, Zurich, fixed-term We are looking for a PhD Student in Macroeconomic Forecasting and Data Science. The position is available immediately and should be filled as soon as possible. KOF Swiss
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leading scholars (incl., e.g., Florian Scheuer, Michael Siegenthaler, and Gabriel Zucman, among others), and leveraging exceptionally rich linked Swiss administrative data, the projects aim to generate new
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of computational and applied mathematics, including but not limited to data-driven numerical modeling, scientific machine learning and AI for science and engineering, computational uncertainty quantification
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voice agents now handle substantive service conversations, hand customers over to human employees, and generate content that reaches large professional audiences — yet the design decisions behind them