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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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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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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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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
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between the four foundational pillars of the PBI: science - interacting with several research groups within and outside PIK, data - an international network of data providers, operationalization - a network
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DIPF | Leibniz Institute for Research and Information in Education contributes to addressing challenges in education through empirical research, digital infrastructure and knowledge transfer. At its
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DIPF | Leibniz Institute for Research and Information in Education contributes to addressing challenges in education through empirical research, digital infrastructure and knowledge transfer. At its
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European sea basins over decadal timescales, due to coastal darkening (COD) and artificial light at night (ALAN), and will determine drivers, sources and impacts of these changes at both large and small