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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 18 hours ago
that is focused on the study of human tumors through the use of multiple genomic technologies. The methods used include gene expression profiling using bulk RNAseq and scRNAseq, DNAseq, and spatial
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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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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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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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; 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
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at different spatial, temporal, and phylogenetic scales (especially, within species vs. across species), characterizing the ability of plant traits to predict plant functional responses to abiotic changes, and
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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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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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. 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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statistical models. Within the Polarity, Division and Morphogenesis team, the candidate will work closely with biologists and physicists to develop approaches integrating spatial transcriptomics, cell dynamics