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project interacting professionally with consortium members and stakeholders; be an active part of the Informatics Institute, in particular, Intelligent Data Engineering (INDElab) group, and their activities
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, data driven, computational and intelligent systems, all with a strong interactive component. The INtelligent Data Engineering Lab (INDElab) investigates intelligent systems that support people in
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interactions with citizens. The position includes collaboration with researchers across multiple universities and international partners, and will involve empirical studies of AI use in public-sector
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science. An ideal candidate has an interest in the theory of ecosystem functioning and is eager to advance our conceptual understanding of ecosystem nutrient cycling via plant-soil-herbivory interactions
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Max Planck Institute for Intelligent Systems, Tübingen site, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | about 1 month ago
Job Code: Tü_99 Job Offer from October 21, 2025 The Max Planck Institute for Intelligent Systems (MPI-IS) conducts research to advance intelligent systems that perceive, learn, and interact. Through
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PhD Candidate in Exposomics, Machine Learning and Artificial Intelligence Faculty: Faculty of Veterinary Medicine Department: Department Population Health Sciences Hours per week: 36 to 40
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platform. Qualification profile: Are you an ambitious scientist looking to push the boundaries of research while interacting with colleagues from multiple disciplines and cultures? Then joining the IPP is
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that you will help us to build the sustainable companies and societies of the future. The Robotics and Artificial Intelligence subject, RAI, at the department of Computer Science and Electrical and Space
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that you will help us to build the sustainable companies and societies of the future. The Robotics and Artificial Intelligence subject, RAI, at the Department of Computer Science and Electrical and Space
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multiple case study, where you will study several R&D consortia over two years, which you will help optimize their innovation processes. You will use qualitative research techniques such as interviews