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nearly 3 million hectares. This physical degradation, often linked to the repeated use of heavy machinery, has long-term impacts on the soil-plant continuum and on key rhizosphere-related processes
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the discovery and optimization of high-performance functional materials through a fully integrated, interpretable AI platform. MAIAMI aims to establish a paradigm shift in materials science by embedding
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or settlement-scale analysis. Drone photogrammetry for urban and architectural analysis. Machine learning models for spatial classification or mapping from satellite images. LiDAR data processing and integration
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the field. The paradigm shift and the advances in fundamental knowledge about dynamin oligomerization in health and disease are expected to contribute significantly to our overall understanding
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a paradigm shift in materials science by embedding mechanistic AI agents into physical experimentation cycles-enabling rapid, transparent, and reproducible design of advanced electrocatalysts. Main
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applicant promises to work full time at SPST upon acceptance of the offer. Application Procedure: Applications should include curriculum vitae, a 3 pages statement of research interests and the names of three
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, primarily functional Magnetic Resonance Imaging (fMRI), combined with behavioural, cognitive, and affective measures. The successful candidate will join an interdisciplinary research team working
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to the philosophy of "Creating to Know, Creating to Use", the Institute systematically deploys its disciplinary efforts around the new research paradigm of “quantitative synthetic biology”. On one hand, it focuses
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Dr Mara Dierssen. The position requires a candidate with previous experience in Bioinformatics. The candidate will process and analyse multi-omics datasets (eg. RNA-Seq, smallRNA-Seq, proteomics
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of the art in informed machine learning methodologies applied to computer vision. Application and validation of the developed methodologies in imaging analysis cases in biology. Machine and deep learning