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. Building on our momentum in generative AI research, our latest initiative explores the interplay between generative chatbots and human service agents, aiming to assess their impacts on customer satisfaction
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of Prof. Isabelle Marthot-Santaniello (Department of Ancient Civilizations) and of Prof. Ivan Dokmanić (Department of Mathematics and Computer Science ) with support from the Center for Data Analytics (CeDA
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Skills/Qualifications Your profile Higher education in nuclear engineering, mathematics or data science Programming and scripting skills, specifically under Linux / Unix environment Experience in machine
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unconventional therapeutic strategies, ranging from antibacterial to anticancer drugs. To this end, we develop new ways to combine state-of-the-art technologies in metabolomics with mathematical modeling
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100%, Zurich, fixed-term The Forest Resources Management (FORM) at ETH aims to maximise forest utilities for humans today and in the future. With this vision in mind our research is centred around
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unconventional therapeutic strategies, ranging from antibacterial to anticancer drugs. To this end, we develop new ways to combine state-of-the-art technologies in metabolomics with mathematical modeling
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for motivated students with physical, mathematical or programming skills for numerical simulation of reactive transport processes, atomistic simulations, or machine learning Knowledge of cement chemistry
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of mathematics, computer science and evolutionary biology. We develop phylogenetic and phylodynamic methods to understand evolutionary, ecological, epidemiological and developmental processes on different scales
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, such as rock, ice, snow avalanches and debris flows. Such instabilities can be triggered by precipitation, earthquakes, glacial debuttressing, permafrost thawing, and human activity. When these events occur
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. Experience with the formulation and implementation of mathematical optimization problems is favorable. The candidate should be proficient in English; good comprehension and oral skills in German are desirable