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candidate will apply spatial transcriptomics and single-nucleus RNA sequencing to human adipose tissue biopsies to investigate cytoarchitectural features and cell-type specific changes associated with disease
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day 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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, progression, and therapeutic response. This research is fundamental to advancing our knowledge of cancer and improving patient outcomes. See further information at the lab webpage: https://odin.mdacc.tmc.edu
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animals Experience in tracking animal movements and analyzing spatial data; experience with establishing genetic pedigrees would be a plus Track-record of independent project management and leadership skills Excellent
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and trophic interactions. The study will combine field observations, morphological identification of arthropods, and molecular approaches (metabarcoding) to identify prey items and assess their spatial
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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 project. The period of 7 years may be extended by the duration specified in the NCN regulations. Project description: Scope of tasks: Neuronal basis of spatial choice. Hippocampus is a part of our brain
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spatial transcriptomics data to investigate mouse and human diseases as well as with other pediatric scientists at BCH. The primary responsibilities will be building pipelines for the analysis, integration
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4 Years, Fixed Term, whole-time Post The Sustainability Institute/School of BEES are now recruiting for a Post-Doctoral Researcher to work on the project ‘The spatial and population ecology of white
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The Associate in Research will be responsible for using and developing computational algorithms to analyze single-cell and spatial-omics datasets. Specifically, we have multiple projects where we are generating