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in person in São Paulo and involves single-cell and spatial transcriptomics analysis, integration of multi-disease datasets, investigation of cell–cell communication, and the development
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acquire advanced expertise in navigation models, spatial representation, object representation, and relational knowledge representation, as well as in planning algorithms based on probabilistic models and
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-cell sequencing and spatial transcriptomics is preferred. This position will be an excellent opportunity to gain experience performing basic and translational research using patient-derived specimens and
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. As part of BioM , the candidate will work in an interdisciplinary team of biologists, statisticians and philosophers, including one other PhD student (statistics) and two postdocs (spatial forest
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at the rank of Research Assistant Professor in applied probability, data science, machine learning, and spatial statistics. Candidates with a strong background in the development of novel models and original
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of multi-modal Foundation Models that integrate single-cell omics with spatiotemporal information. The second position will address the development of a virtual tissue model, exploiting spatial
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relevance to extraterrestrial environments and future energy strategies. For more information on this project, see: https://copl.ethz.ch/research/research-projects/2025-saar.html Job description The PhD
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Heritage and Education Economic and Spatial Development, Democratic Participation and Social Integration Biodiversity and Health Light, Matter, Information Environment and Sustainable Development Research
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African ocean basins. O2. Building anticipatory governance to ensure that actions to achieve transformative visions are sensitive to multi-scale temporal and spatial dynamics. SRC is leading WP 2 that aims
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of Geoscience and Remote Sensing , we develop advanced methods and instruments to observe and understand the Earth system. Combining satellite, airborne and ground-based measurements with modelling and machine