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Description Company profile / Introduction: The Environmental Biotechnology Group at the University of Tübingen is seeking three excellent PhD candidates to join our international and dynamic team
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plan by conducting 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! Throughout
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Master’s degree (or equivalent) in a relevant discipline such as computer science, mathematics, physics, or data science. They should have strong analytical skills related to statistics, machine learning
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environment Scientific excellence and extensive professional networking opportunities A structured PhD program with a comprehensive range of continuing education and networking opportunities - more information
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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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, 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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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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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