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in economics, or related disciplines strong analytical and methodological skills with a focus on quantitative data analysis (e.g., econometrics, statistics, machine learning) a high motivation and the
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design and impact analysis, resource allocation, growth and welfare evaluation, technology diffusion and firm level innovation. leading to an internationally competitive PhD degree and internationally peer
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individually and in concert with others; cooperative maintenance of exchange platforms (database, information pages, etc.) summarizing the results of the individual PhD study project in a dissertation within the
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, physics, or data science. They should have strong analytical skills in the context of machine learning and/or numerical mathematics, as well as an excellent command of a programming language, preferably
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Description We are looking for a highly motivated and talented PhD candidate to join our interdisciplinary research team at the Institute of Physical Chemistry. This position offers the opportunity
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of the research plan through conducting of experiments, sample and data analysis and write up of results for scientific publication are part of the PhD process – a journey to become an independent researcher
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project position as Research Associate / PhD Student (m/f/x) within the MSCA Doctoral Network SLICE (due to funding, the salary is calculated according to MSCA regulation) starting October 1, 2026
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PhD). Tasks: Participate in and co-design research projects in the field of sustainability assessment methods for disruptive innovations such as carbon concrete. The key question is: “How can life cycle