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management transitions is an advantage; Cross-cultural sensitivity and a team player attitude, willing to be part of a large national; A driving license might come in handy. Our offer We offer: a job (0.8
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, for example using Python or comparable tools, and experience with GIS-based spatial analysis. The ability to work with heterogeneous geological, hydrogeological and monitoring datasets and to connect
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environments. You will work closely with a transdisciplinary team, including social and industrial partners. Your main responsibilities include: developing an AI-powered recommender system for healthy urban (re
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the ability to present quantitative findings clearly to academic and other audiences Ability to work independently and collaboratively within an interdisciplinary research team, and coordination skills
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develop this expertise; an interest in interpretable AI, rigorous benchmarking and reproducible research, together with the ability to collaborate across AI, bioinformatics, microbiology and crop science
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reproducible research, together with the ability to collaborate across AI, bioinformatics, microbiology and crop science. Experience with microbiome data, microbial genomics, metagenomics or multimodal
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networks, communities of practice, or transdisciplinary/collaborative research processes; Proven ability to design, organise, and facilitate workshops, dialogues, or similar participatory formats, for both
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; prior experience with development of measurement tools is a plus; excellent problem-solving skills and the ability to work independently as well as collaboratively; a team player capable of managing
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small-scale models via distillation from larger models, including through the use of synthetic data. This in turn raises interesting questions about the robustness of the resulting models, their ability