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PhD Studentship: Preclinical modelling and therapeutic targeting of glioblastoma infiltrative margin
revealed distinct gene expression profiles of the infiltrative margin of glioblastoma via bulk transcriptomics https://pubmed.ncbi.nlm.nih.gov/37434262/ predicated on biopsies obtained via 5-aminolevulinic
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requirement to be duly proven at the time of recruitment2; 3. Preferred requirements: a) wledge and experience in applying quantitative analysis techniques; b) Advanced proficiency in GIS and 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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entrainment, physicochemical processes, and interactions between ice sheets and their beds. Recent advances in LA-ICP-MS now enable the spatially resolved analysis of major and trace elements at the scale
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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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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
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 18 minutes 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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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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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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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