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The Bernhard Nocht Institute for Tropical Medicine (https://www.bnitm.de/en ) is the largest Research Institute for Tropical Medicine in Germany and is the National Reference Centre for Tropical
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research (http://www.wzb.eu/en ). WZB researchers come from across the globe and work across social science disciplines including sociology, political science, economics, law, and psychology. A member of the
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related discipline, is required. Basic knowledge and initial experience with experimental working methods (e.g. spectroscopy, laser physics) Fundamental programming skills and expertise, e.g., Python, Julia
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Research Area in the Integrated Crop Systems Analysis working group. The interdisciplinary working group has a thematic focus on climate risk management and assessment. They use a range of methods including
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of the PRIDAS is developing and providing data science support services, processing and analysis methods, as well as management of highly complex multimodal data. Our research with primates involves a combination
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networks Analyze and interpret multiome datasets (e.g., transcriptomics, epigenomics and related modalities) Apply advanced computational and statistical methods for integrative analysis of multi-layer
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an interdisciplinary consortium studying the “GEvol: Genomic Basis of Evolutionary Innovations (GEvol)” (Priority Programme, SPP 2349 funded by German Science Foundation (DFG)). We are recruiting a highly motivated
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) in the field of agricultural or environmental data collection. Your ability to collaborate across disciplines and to develop and refine methods in the field of environmental and agricultural sensor
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image analysis to establish objective, fast, and scalable testing methods for the textile and cosmetics industries. Your tasks Development and implementation of AI/ML models (Deep Learning, Computer
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by NFDI4Biodiversity, part of NFDI, the German National Research Data Infrastructure Program. The project position is part of our Senckenberg Data and Modelling Center (SDMC) with experts in the areas