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omics. Nat Methods 22, 58–62 (2025). https://doi.org/10.1038/s41592-024-02212-x Crowell, H. L., Dong Y., Billato I. et al. Orchestrating Spatial Transcriptomics Analysis with Bioconductor. bioRxiv
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, and applied spatial analysis. The introductory coursework facilitates a dual understanding of individual decision-making and market mechanisms through microeconomic theory, alongside an examination
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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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Research Framework Programme? Horizon Europe - ERC Is the Job related to staff position within a Research Infrastructure? No Offer Description The Machine Learning for Integrative Genomics team (https
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. Experience with data manipulation in SAS or SQL. Experience in spatial analysis and mapping using ArcGIS Pro. Experience developing and maintaining interactive visualizations using Tableau. Experience working
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Centre of Excellence “Temporal and Spatial Dynamics of Forest-Related Chemical Interactions in the Anthropocene.” The doctoral researcher’s duties include studying the effects of climate change, air
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European cities, integrating energy planning with urban planning. At its core, PRISE bridges energy and urban planning, linking bottom-up community needs with top-down urban strategies through a spatially
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modes. Evaluate helicity conversion metrics and identify geometries that minimize helicity relaxation. Investigate how disorder (random spatial arrangements) modifies scattering and transport properties
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such as R, SAS, ArcGIS, SQL, Python and AI tools. Conducts geospatial and epidemiologic analyses relevant to the catchment area to assess cancer outcomes, spatial patterns, temporal trends, and disparities
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competition for external funding Concentration: Candidate with expertise in research and teaching in reinforcement learning, digital twins, generative AI, AI for drug development, and computation and spatial