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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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, 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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“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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. 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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discipline and brings a strong background in bioinformatics, chemoinformatics, machine learning, AI and data analysis of large biological datasets. Proficiency in programming and experience in mentoring and/or
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large mountain range that includes peaks over 4,500 meters, the corresponding elevational gradient has played an important role in the diversification of New Guinean flora and fauna. Previously, we have
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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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resources, including large prospective cohort studies with tens of thousands of participants and a linked biobank, a unique claims database covering 25 million people across Germany, a population-based cancer
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countries. We also host a large data set of > 30,000 terrestrial insect species, based on DNA metabarcoding. Additionally, we have access to accompanying environmental data. These data sets provide a unique
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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