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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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cutting-edge technologies to dissect these interactions: high-density microelectrode arrays (HD-MEAs) for large-scale electrophysiology, spatial transcriptomic methods, and human iPSC-derived neuronal
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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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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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the identification and/or development of suitable characterisation factors with spatial differentiation, particularly to better capture marine impacts. Conducting prospective analysis and scaling-up assessments
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: synthesising and combining results from existing model-based sustainability assessments (e.g. LCA, spatial and scenario analyses) to identify optimal transition pathways and to set out a forward-looking research
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. Moreover, several recent spatially-explicit studies quantified the share of mining activities in areas which face high levels of environmental constraints (water stress, land use). Yet there is still the
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in applied economic analysis (e.g., causal inference, econometrics, spatial equilibrium modeling). • Experience working with large-scale datasets and interdisciplinary research. • Demonstrated research
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-focused attribution frameworks that integrates climatic and non-climatic drivers across sectors, combines cutting-edge datasets with multivariate methods, and delivers spatially explicit tools