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simultaneously. By doing so, the project uncovers key pathways and mechanisms in prostate cancer progression. This will be achieved by analyzing samples using spatial transcriptional and proteomic analysis in
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-cell transcriptomic, and spatial transcriptomic analysis for brain metastasis research. Utilizing hESC/iPSC derived human cerebral organoid for in vitro 3D models to examine the microenvironment of brain
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macroscopic response: Toughing mechanism using surface on involume spatial variations. Structural health monitoring (SHM) and smart structures for composite infrastructures: Wireless surface gauges and
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of crop-switching, environmental resilience, and agrifood sustainability. The candidate will develop and apply spatial analysis, remote sensing, and modeling to evaluate the technical, environmental, and
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/ Multi-Omics Data Integration Candidates with a strong background in bioinformatics, computational biology or epigenomics. Desirable experience includes single-cell and spatial omics analysis (scRNA-seq
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developed and its application in life sciences promises to bring scientific breakthroughs thanks to its superior spatial resolution and the possibility to simultaneously combine two modalities (Raman and
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cut lung slices, transgenic rodent models, preclinical models of lung fibrosis, in vitro and in vivo testing therapeutic candidates, scRNAseq, spatial transcriptomics, confocal and electron microscopy
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and educational issues with the common goal of contributing to an inclusive, open and resourceful society. The successful candidate will be based in the Department of Geography and Spatial Planning and
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semantics and spatial reasoning. AI for Physical Systems – Leveraging machine learning and AI to improve performance, safety, and adaptability of robots, autonomous vehicles, and other intelligent machines
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three outstanding Postdoctoral Research Fellows to join a dynamic, interdisciplinary team undertaking a spatially explicit, contextually informed, and justice-centered assessment of the strategies and