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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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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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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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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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team and lead the development and application of machine learning methods to large-scale genomic data generated at IPK-Gatersleben, with a focus on the impact of genetic variation on gene regulation
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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
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on genomic and ecological data. The position will be located in Berlin-Dahlem. It will also include managing and analysing large datasets and supporting IGB’s Competence and Technology Platform
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using geographic information systems (GIS) and programming languages (e.g. Matlab, Python, R) and working with large data sets and data formats, such as netCDF, HDF, including analysis tools such as NCO
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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