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cardiovascular simulations, especially with regard to the estimation of biomarkers for image-based diagnostics. The project is a collaboration between WIAS (Research Group “Numerical Mathematics and Scientific
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a methodological focus on applied microeconomic theory, numerical simulations or empirical methods Good understanding of one or more of the following topics: electricity markets, industry
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at internal and external meetings. Successful applicants: had a completed university degree (e.g. master, diploma) in biology, neurobiology, biophysics, physics or engineering and already hold or will complete
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other actors conduct workshops with canteen cooks and farmers in collaboration with project partners Your qualifications: PhD degree in agricultural sciences, e.g. with a focus in agronomy, agro-ecology
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within an interdisciplinary research team Your Qualifications: University degree (PhD, M.D., or equivalent) in Biology, Life Sciences, or Biomedicine Strong motivation and a genuine interest in stem cell
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in machine learning, AI and programming skills, e.g. Python basic knowledge of materials science / materials engineering Leibniz-IWT is a certified family-friendly research institute and actively
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and technologies. The institute employs an average of 500 people from over 40 nations and, in addition to its scientific tasks, is dedicated to promoting young scientists and engineers. Further
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other actors conduct workshops with canteen cooks and farmers in collaboration with project partners Your qualifications: PhD degree in agricultural sciences, e.g. with a focus in agronomy, agro-ecology
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and technologies. The institute employs an average of 500 people from over 40 nations and, in addition to its scientific tasks, is dedicated to promoting young scientists and engineers. Further
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completed scientific university education (Master's/Diploma) with PhD in horticulture sciences, agricultural sciences, biology environmental protection or a related field in-depth knowledge of organic