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around 30,000 people in nearly 15,000 households. SOEP aims to capture social change and thus handles a constant stream of new and diverse topics and tasks. Its data collection and generation adhere
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following position Postdoctoral researcher (m/f/d) in Environmental Data Science and Machine Learning for the project BoTiKI Location: Görlitz Employment scope: full-time (40 weekly working hours) / part
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-Firmenticket that is partially subsidized. This is a fixed-term position limited to a period of 3 years. Remuneration is paid according to TVöD Bund, salary group 14. Application and information: We value
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. This requires the coherent integration of big data, which can be highly heterogeneous and discontinuous in tropical contexts. A particular accent is put on image analysis from proximal and distal sensing, i.e
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the era of large population size and dense genomic data such as whole-genome sequencing, new algorithms are needed to remove the bottleneck of computational load for such a development. In the frame of a
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“BoTiKI “(funded by the Federal Ministry for the Environment, Climate Action, Nature Conservation and Nuclear Safety), ideally starting as soon as possible in 2025. About the project: Soil is a large
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, Integrative Plant Taxonomy, Ecology and Evolution of Bryophytes and Digital Collectomics work together to analyse Anthropocene Biodiversity Change using collection based modern and innovative methods in large
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public debates and information/service – we contribute to maintaining and increasing sustainable economic prosperity and social participation under constantly changing conditions. Do you want to know more
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. Our most recent project is to characterize the function and genetic control of root anatomical traits in maize to enhance drought tolerance. This PhD project is part of a large consortium, including
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integrate large-scale sequence and RNA-seq data from internal and public resources. You build a reference library of predictive regulatory motifs. You use network analysis and random-forest approaches