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Field
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modelling, starting as soon as possible. The position is funded for 36 months. Remuneration is in accordance with the German public tariff scheme (TV-L Brandenburg), salary group E 13. This is a part-time
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proteins from renewable feedstocks and waste streams. We aim to develop sustainable processes to convert these materials into high-performance fibers and functional materials. By manipulating molecular
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effectively in an international, interdisciplinary team environment High level of flexibility, adaptability, and the ability to work under pressure while also demonstrating a strong commitment to achieving
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Transitions (CRC 1430) In addition, our rapidly expanding biomedical campus offers young scientists access to state-of-the-art research facilities and the opportunity to work at the interface of basic and
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Leibniz Institute of Ecological Urban and Regional Development (IOER) • | Dresden, Sachsen | Germany | about 9 hours ago
/ part-time full-time Programme duration 6 semesters Beginning Winter and summer semester Additional information on beginning, duration and mode of study Programme start for our annual topic-specific
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and data analytics (including machine learning and deep learning); from high-performance computing to high-performance analytics; from data integration to data-related topics such as uncertainty
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to understand the role of microbiota in the development and therapy response of PDAC. We work in a highly motivated and international team in close collaboration with our colleagues at the German Cancer research
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or infrastructure. This is what makes our daily work so meaningful and exciting. Together with university partners at seven renowned partner sites, we have established the German Cancer Consortium (DKTK
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. The PhD project is part of an interdisciplinary collaboration with the University of Bayreuth (EASI lab, led by Prof. Dr. Lisa Hülsmann). Main responsibilities include joint field work to establish an in
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ability and willingness to work independently, conceptually in a team interest in research and scientific work as well as practice-oriented, interdisciplinary collaboration with cooperation partners fluency