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and simulation tools. Research topics include geometric modeling of engineering products, methods of geometric analysis, methods of Building Information Modeling, modeling and simulation of construction
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, environmental or natural resource economics) or related disciplines strong analytical (i.e. microeconomics, production or resource economics) and methodological skills with a focus on quantitative data analysis
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or microfluidics and ideally in quantitative data analysis. As a theoretical candidate, you have knowledge in quantitative biology, soft matter/complex systems physics or statistical physics. You enjoy working in
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national grants. You will plan, design, and manufacture our sensor to be used in clinical trials, work on data acquisition and data analysis. The results of your work will not only accelerate your scientific
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matter physics, biomedical/material engineering or a related discipline. You have a strong background in data analysis and image processing. You enjoy working in interdisciplinary and international teams
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, information theory, statistics, real/functional analysis, statistics. - Excellent programming and software engineering skills at least in Python and in relevant machine learning libraries (at least one of
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working in interdisciplinary and international teams and have image processing or image analysis skills. In addition, you are able to express yourself confidently both orally and in writing in English. What
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disciplines). Experience in/Dedication to: planning and conducting chemical experiments, chemical analysis, process modeling/simulation, and optimization Team player skills and enthusiasm to work in a multi
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. We are looking for candidates with research interest in the theoretical analysis of algorithms. In particular, the candidate shall work on appproximation algorithms for scheduling problems in parallel
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empirical field of investigation. Therefore, it links hithero disparate theoretical perspectives and empirical methods, including ethnography, comparative content analysis and bibliometrics. The project is a