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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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innovative machine learning architectures for the mining, prediction, and design of enzymes. Combine state-of-the-art ML (e.g., deep learning, generative models) with computational biochemistry tools
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experience growing, managing, and phenotyping plants in the field and greenhouse. You have experience using modern approaches in root phenotyping, image analysis, or simulation modeling to understand
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combines microbial genomics, transcriptomics, and in vitro infection models to explore the adaptive trade-offs between drug resistance and virulence phenotypes. The position is funded for 3 years and
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approaches in root phenotyping, image analysis, or simulation modeling to understand the functional roles of plant roots in agroecosystems. You have excellent communication skills and will to collaborate with
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the field and greenhouse. You have experience using modern approaches in root phenotyping, image analysis, or simulation modeling to understand the functional roles of plant roots in agroecosystems. You have
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. However, the transcriptional regulation of this process remains is not fully understood due to the complexity of crop plants as models for molecular and imaging studies. This DFG-supported project aims
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specimen-based analysis of trace fossils with exploratory fieldwork in southern Namibia, and neoichnological experiments in collaboration with scientists at Senckenberg am Meer in Wilhelmshaven. With
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The Socio-Economic Panel (SOEP), a research-driven infrastructure based at DIW Berlin, is one of the largest and longest running multidisciplinary panel studies worldwide, and currently surveys
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About us The DWI – Leibniz-Institute for Interactive Materials is a federal and state funded research institute of the Leibniz Association based on the Melaten Campus of RWTH Aachen University