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, and link various data resources in preparation for statistical analyses. Contribute to the development of data analysis plans and carry out analyses on large data resources. Assist with the creation
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opportunities: https://go.fzj.de/LeadershipCulture In a large research institution like ours, science and administration work hand in hand. Our leadership model ( https://go.fzj.de/leadershipmodel ) provides
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research agenda using advanced quantitative methods—such as machine learning, computational modeling, big-data analytics, and wearable technologies—to study tourism, hospitality, and/or human performance
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large-scale text and media processing. Use advanced AI techniques to enhance search and access to collections. Collaborate with High Performance Computing for scalable, efficient AI solutions. Evaluate
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at CRAG (from basic science to applied research using plant experimental model systems, crops and farm animals) make extensive use of genomic technologies and large sets of genetic and genomic data (https
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-solving skills to make well-reasoned decisions. A significant portion of the work involves reviewing admission applications, interpreting and contextualizing information in each file, and confidently
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recharge and drainage mechanisms. Reference simulations will be available following developments carried out by the Barcelona partner (openkarst code https://openkarst.org/ ) using data acquired in the field
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. A typical work week will include a large amount of programming and data pipeline development. It will also include a fair amount of data management, and requirements gathering. Additionally, some
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qualifications: Strong skills in structural modeling (preferably discrete choice models or matching models). Proficiency in Python or R for data processing, modeling, and simulation tasks. Experience with large
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6 Jan 2026 Job Information Organisation/Company Swiss Federal Institute for Forest, Snow and Landscape Research WSL Research Field Agricultural sciences » Forest sciences Biological sciences