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transcriptional regulation from multi-omics data; computational method development for single-cell epigenomic sequencing and image-based spatial-omics data analysis; computational and experimental studies
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is home to a consortium of postdoctoral fellows who provide modeling expertise for a wide range of projects as integral members of those research teams. Unit URL https://imci.uidaho.edu/ www.uidaho.edu
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Research Assistants to assist in an ongoing effort to establish a baseline spatial understanding of cellular reception quality of four providers across the U.S. Virgin Islands. The findings of this research
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University of the Virgin Islands | Saint Croix Falls, Wisconsin | United States | about 20 hours ago
Research Assistants to assist in an ongoing effort to establish a baseline spatial understanding of cellular reception quality of four providers across the U.S. Virgin Islands. The findings of this research
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approaches. The PhD will develop and apply optimization-based energy system models to analyse whether spatially coherent urban and energy configurations can be operated efficiently under realistic physical
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translational model systems. The research environment provides access to state-of-the-art facilities in genome editing, biological mass spectrometry, advanced imaging, spatial transcriptomics, and 3D
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research and teaching focuses on social, economic, political and educational issues with the common goal of contributing to an inclusive, open and resourceful society. The Department of Geography and Spatial
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datasets generated experimentally including but not limited to bulk and single cell multiomics sequencing, epigenomics data including ChIP-Seq and CUT&RUN, and imaging data including spatial transcriptomics
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clustering analysis using Voronoï tessellations particle tracking and shadowgraphy measurements, will be used to quantify particle size, velocity, and spatial organisation. These experiments will be
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an outstanding and ambitious postdoctoral researcher in computational biology to pioneer understanding and modeling of tissue architecture using single-cell and spatial transcriptomics data. The focus will be