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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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of visual texts and will focus on the semiotic analysis of the design dimension,whether artistic,design-related,or architectural,with particular reference to the role of corporeality and spatiality and the
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completed a doctorate in political and/or administrative sciences or a related spatial social science with outstanding results and has an excellent international track record in the fields of political
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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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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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University of the Virgin Islands | Saint Croix Falls, Wisconsin | United States | about 17 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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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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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
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methods for single-cell data analysis (tools developed by the team : https://github.com/cantinilab ). Single-cell high-throughput sequencing, extracting huge amounts molecular data from a cell, is creating
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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