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computer software for analyzing omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical]; Data management and analysis solutions that aid in the storage, investigation and
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: Algorithms and computer software for omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical.] Data management and analysis solutions that aid in the storage, investigation, and
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Position Summary The GrandPre group in the Department of Physics at WashU in St. Louis invites applications for a theoretical/computational postdoctoral position, with an anticipated start date
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software for analyzing omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical.]; data management and analysis solutions that assist in storage, investigation and dissemination
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, implements, and operates Linux based High Performance Computing (HPC) clusters, high performance parallel file systems storage, as well as provides research computing consultation and support to campus
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Description Primary Duties & Responsibilities: Implements: Algorithms and computer software for analyzing omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical]; Data management
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: Assists research studies with implementation of: existing algorithms and computer software for analyzing omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical.]; data
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bioinformatics analysis on the various projects, involving different omics studies. Job Description Primary Duties & Responsibilities: Implements: Algorithms and computer software for analyzing omics-based data
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parallel histological and genomics assays. Performs neuroanatomical segmentation analysis of spatial transcriptomic data and works with computational team members to execute bioinformatic studies
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standard molecular biology (PCR, cloning, plasmid preparation, etc.), some cell culture, and advanced molecular methods such as TRAP, sequencing library preparation for Illumina, and massively parallel