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Position as Computational Analyst / Bioinformatician in RNA Therapeutics and Cardiometabolic Disease
. Access to HPC (https://escience.sdu.dk/index.php/ucloud ) and extensive bulk / sc / sp omic datasets. A unique position working at the intersection of microRNA and mRNA target discovery and innovation
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production Preparation of DNA samples for sequencing and analysis of sequencing results Metabolite and RNA extraction, and sample preparation for metabolomics and transcriptomics analyses Set up and
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the option of extension. https://bionmr.univie.ac.at/people/ Working Environment The NMR facility at the Department of Pharmaceutical Sciences includes: 700 MHz, two 500 MHz, equipped with cryoprobes and
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in human ESCs and assess the impact on neural differentiation. Furthermore, the candidate will utilize state-of-the-art epigenomics and metabolomics approaches to map the genomic distribution
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, FAIR data/open science, life sciences data systems, and analysis of various kinds of omics data (e.g., metabolomics, proteomics, genomics, transcriptomics, etc.). Values & Abilities: We expect ML
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, including genomics, proteomics, metabolomics, and bioinformatics. For more information about Dr. Brendan Manning’s lab, please visit: https://www.hsph.harvard.edu/brendan-manning/manning-lab/ The research
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transcriptomics, proteomics, metabolomics, and metallomics data. Using advanced techniques such as MALDI-MSI metabolic profiling and enzyme-constrained GEMs, the candidate will generate region-specific models
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tuberculosis using in vitro and in vivo mouse models. Performs experiments that include genetic, biochemical, cellular and molecular approaches, as well as metabolomics, epigenetics and high throughput
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microbiome, transcriptomic, metabolomic and genomic data to explore metabolic interactions in gut bacterial communities Your main goal will be to reveal the “dark matter” of unknown cross-feeding interactions
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Position as Computational Analyst / Bioinformatician in RNA Therapeutics and Cardiometabolic Disease
academic partners. Access to HPC (https://escience.sdu.dk/index.php/ucloud ) and extensive bulk / sc / sp omic datasets. A unique position working at the intersection of microRNA and mRNA target discovery