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of patterns from drillhole data. Drillhole loggings, elemental concentration assays, and mineralogical data derived from techniques such as Mineral Liberation Analysis (MLA) or hyperspectral core scanning
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(HPC) for biological simulations and analyses; multimodal data integration and analysis; new approach methodologies (NAMs). Precision Medicine and Biomedical Data: spatial transcriptomics and spatial
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workshops on GIS and spatial analysis methodologies ? Collaborate with faculty and students across the research and scholarship lifecycle to integrate GIS into research projects, from grant proposals (often
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focus on agent-based modeling and the quantitative analysis of spatial structures in experimental data. In doing so, you will develop your own research focus, support conceptual work, and contribute
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reconsolidation of memory are studied. Within this frame, the FAM has recently identified new spatial and non-spatial subnetworks segregated along the proximodistal axis of the hippocampus (Nakamura et al, J
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Requirements You are an independent, highly motivated researcher with solid interdisciplinary experience in agronomy and plant genetics, and a growing foundation in spatial data analysis. You also possess: A PhD
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geospatial services that support advanced mapping and spatial analysis workflows. The role also involves working with drone data streams, managing spatial databases, and developing processing and analysis
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Applications are invited for a position as postdoc in Computational Biology in the laboratory of DNRF Chair and Novo Nordisk Faculty Professor Vijay Tiwari (https://www.tiwarilab.org
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the context of rapid and unprecedented global urbanisation affecting the Baltic region of Europe, conventional approaches to spatial analysis for urban planning and governance are no longer adequate
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expertise in biostatistics and spatial data analysis. - Expertise in machine learning. - Advanced expertise in signal processing (accelerometric/gyroscopic and acoustic). - Experience writing scientific