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statistics, texture descriptors (GLCM, GLRLM, GLSZM), wavelet-based features, and shape parameters. Particular emphasis will be placed on quantitative assessment of intratumoral heterogeneity through spatial
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visualization of spatial data; environmental geospatial modeling, remote sensing and spatial statistics; relational database concepts; identification of spatial temporal turbidity patterns in coastal waters using
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education to enable regions to expand quickly and sustainably. In fact, the future is made here. The Department of Mathematics and Mathematical Statistics is opening a PhD position in spatial statistics
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the laboratory of Kevin Cox. The position is funded through an HHMI grant to investigate the transcriptional regulation of cell-to-cell communication in plant stress response. The Cox Lab uses spatial and single
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world every day. Through top scientific research, we push back boundaries and set a course for the future – a future that you can help to shape. PhD Position: Spatial Omics Meets Neurodegeneration
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of Porto, under the following conditions: 1. Research area/s: Geography, Sociology, GIS, Statistics, Engineering (particularly Forest Engineering), and related fields 2. Admission requirements: To apply
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with bioinformatics tools and software for data analysis (e.g. Seurat, SquidPy, Bioconductor). Strong understanding of statistical methods and data visualization techniques. Familiarity with spatial
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of differences in the workplace Preferred Qualifications: Experience conducting advanced spatial statistical analyses related to environmental health risks (hotspot analyses, spatial regression analyses) Written
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. The position is funded through an HHMI grant to investigate the transcriptional regulation of cell-to-cell communication in plant stress response. The Cox Lab uses spatial and single-cell genomics, imaging, and
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; developing, interpreting, and applying the two statistical models; and submitting peer-reviewed publications and presenting findings at scientific conferences and stakeholder workshops. Unit URL https