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pharmacodynamic data analysis. Project background The project's main objective is to extract and analyze large amounts of pharmacodynamic data from various sources and design a user-friendly database. Through
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of the multiple, heterogeneous agents that compose them, and their continuous interactions and rules they must abide. To achieve these goals, we perform large-scale data analysis, minimalistic modelling aimed
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of Zurich) and Dr. Michael Siegenthaler (KOF). Using large-scale linked register and survey data and self-collected data on collective bargaining agreements in Switzerland, the primary research goals
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1.9.2024; duration: 3 years Coordinating and managing a research project including carrying out qualitative interviews and analyzing a large panel data set Continuing your education/training (e.g., taking
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Coordinating and managing a research project including carrying out qualitative interviews and analyzing a large panel data set Continuing your education/training (e.g., taking courses on research methods
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new cavitation therapies to make them more precise, more efficacious and safer. Job description We seek to appoint a PhD student to conduct experimental research to investigate the role of cavitation in
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. The team uses innovative large datasets and applies rigorous empirical methods to estimate causal effects. The successful candidate(s) will be part of the PhD programme of the Department of Management
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5 Jun 2024 Job Information Organisation/Company ETH Zürich Research Field Environmental science » Earth science Environmental science » Other Mathematics » Statistics Physics » Computational physics
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physiological sensors, and manage the data streams and data archive that originate from these sensors. The second task is to perform original research at the experimental site in physiological plant ecology
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the large-scale hydrodynamic and thermoacoustic stability of propagating and autoigniting hydrogen-air flames must be understood for the development of hydrogen combustion technologies. In particular