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Field
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computational modeling techniques to study planning in rodents engaged in dynamic spatial foraging tasks. The successful candidate will develop computational models of reinforcement learning in the brain and
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cytometry Perform genomic data analyses from next generation sequencing data (eg. RNAseq, scRNAseq, spatial ‘omics profiling)—prior experience with genomic data analysis is helpful but not required Stay
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genomic pathology approaches, including CRISPR, single cell sequencing, spatial transcriptomics, and image analysis to address biologically- and clinically-driven questions. Our overall aim is to
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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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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
. Techniques would include the use of CRISPR/Cas9-targeted gene deletion, microbead and FACS cell purification, flow cytometry analysis, Western blot, qrt-PCR, ELISA, RNAseq, scRNAseq, micro-CT imaging, IHC
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–biodiversity relationships are linked to acoustic comfort–restoration outcomes. The models will integrate spatially-explicit structural complexity variables, landscape imperviousness variables, biodiversity
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cutting-edge multi-omics at bulk, single-cell and spatial scales with computational analyses to investigate transcriptome, epigenome and chromatin architecture. Combine multi-omics with flow cytometry and
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disease, and identify causal genes and variants using xQTL analysis and integrating our data sets from hundreds of brains (sn-RNAseq, sn-ATAC-seq, sn-long-read PacBio RNAseq, high-resolution spatial
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management systems, i.e., MySQL or Microsoft SQL Server. · Proficient in traffic simulation and spatial analysis. · Experience writing and publishing manuscript(s) that report original research
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or TransCAD) or open-source transportation modeling software (i.e., MATSim and DTALite); Advanced knowledge of spatial analysis, econometrics, and/or machine learning. Additional Certifications: Additional