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the upcoming flood type, e.g. heavy-rainfall flood or rain-on-snow flood. As PhD candidate you will compare several machine-learning based algorithms regarding their ability to predict the flood type based
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person with a genuine passion for both fundamental and applied research. You are curiosity driven, and have strong analytical and problem-solving skills. You are eager to learn new skills to combine
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“learning from nature” approach to explore how novel protein crops and their close relatives interact with neighbouring plants and the wider ecosystem, translating these insights into biodiversity-positive
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, field). You are eager to learn new techniques, whether in plant physiology, genomics, or high-throughput phenotyping, and you enjoy connecting detailed trait measurements to the bigger picture of crop
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perspective. The second PhD position within this work package will focus on ‘learning from nature’. Together, these complementary perspectives will contribute to an integrated, system-level approach
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curiosity driven, and have strong analytical and problem-solving skills. You are eager to learn new skills to combine different microbiological disciplines, and thrive in an independent as
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temporary contract for 18 months which will be extended for the duration of the project if you perform well. There are plenty of options for personal initiative in a learning environment, and we provide
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. Only applications submitted through our website will be considered. To apply, please send the following documents (max. 3 pages in total for both documents): Complete and up-to-date curriculum vitae
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applications submitted through our website will be considered. To apply, please send the following documents (max. 3 pages in total for both documents): Complete and up-to-date curriculum vitae; Motivation
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send the following documents (max. 3 pages in total for both documents): Complete and up-to-date curriculum vitae; Motivation letter. (please indicate to which of the PhD positions you are applying