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, particularly soil or plant water measurements, is an asset. A strong background in statistical analysis is desirable. Familiarity with stable isotope data, dendrometry, or soil hydrology is advantageous
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and social aspects related to the social and political (non-)acceptance of genetically modified food. It has empirical parts (systematic review of reasons, content analysis of public debates in
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and social aspects related to the social and political (non-)acceptance of genetically modified food. It has empirical parts (systematic review of reasons, content analysis of public debates in
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, financial networks, e-democracy, voting, social networks, online analysis with delay, and theory of distributed algorithms. In our group, we work on both theory and practice: some members of our group focus
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independent and collaborative research, including literature reviews, data collection and analysis, leading to novel contributions to the field. You will be responsible for writing and publishing academic
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100%, Zurich, fixed-term The Engineering Geology Group (Prof. Dr Jordan Aaron, Geological Institute) is looking for a creative and motivated PhD candidate with a strong interest in the analysis
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principles of microbial ecology. The project involves techniques of sequencing and bioinformatic analysis, isolation, cultivation, and characterization of anaerobic microorganisms, as well as mathematical
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strong willingness to learn A solid foundation in experimental research, data analysis, and scientific methods Interest in machine learning and data-driven approaches to materials discovery Strong interest
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-class collaborators. Profile We expect from you: Recently obtained master degree in engineering or physics with outstanding grades Excellent knowledge of continuum mechanics and finite element analysis
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unprecedented opportunities to revolutionize data analysis and simulation methodologies in the field. Job description The selected PhD candidate will join an innovative research team to explore cutting-edge