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Wetsus - European centre of excellence for sustainable water technology | Netherlands | about 2 months ago
material strongly influences microbial viability, colonization efficiency, and spatial distribution in the root zone. A systematic evaluation of inoculum formulation, carrier materials, and ecological
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, to achieve spatial understanding and cross-modal representation learning from heterogeneous sensor data, with the research not limited to these methods. This research will support semantic interpretation
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and interoperability standards Competence with spatial reference systems, projections, and coordinate transformations for EO data Experience in scalable data architectures for big data frameworks, large
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: Business Administration, Economics and Business Economics, Political Science, Public Administration, Human Geography, Spatial Planning, and Environment. Our approach to teaching and research is evolving from
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of computational biology. have experience with data-intensive technologies, such as the analysis of spectral flow cytometry, imaging, single-cell transcriptomics, or spatial tissue profiling data, and should be keen
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lead to shifts in microbial species composition and ultimately reducing soil’s water-holding capacity. The spatial distributions of such soil communities, the changes in (functional) diversity
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. The program develops scientific knowledge, models and simulation tools to support marine spatial planning in a multi-stakeholder co-creation process. You will join a team of 17 PhDs and postdocs across
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extracellular matrices, you will help reveal how spatial and temporal environmental signals guide tissue organization. Your work will involve designing and applying advanced biomaterial systems including dynamic
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and spatially complex nature of MRI signals. Each MRI examination involves multiple pulse sequences, with signal acquisition being sensitive to coil placement, sensor geometry, B0/B1 inhomogeneities
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. Research Focus The projects aim to develop advanced computational methods for analyzing large-scale, multimodal biomedical data—including single-cell and spatial omics, imaging, and clinical datasets. Key