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Center for Integrated Metabolomics, Translational Research in Neurodegenerative Disease). Further information about MGM and the CNG can be found at https://mgm.ufl.edu and https
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the University of Vienna: https://doschem.univie.ac.at/ The standard employment contract is for three years . Initially limited to 1.5 years, the employment relationship is automatically extended to three years
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: https://doschem.univie.ac.at/ The employment duration is 3 years. Initially limited to 1.5 years, the employment relationship is automatically extended to 3 years if the employer does not terminate it
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experiments involving genetic and pharmacological interventions in cells, as well as functional assays. The candidate will also have the opportunity to perform animal experiments, proteomics, metabolomics, and
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NIMSB Technology Platform Leaders:Data Science, Single-Cell & Spatial Omics, Proteomics/Metabolomics
on diverse omics modalities (e.g. single-cell and spatial transcriptomics, genomics, proteomics/metabolomics); - Proteomics/Metabolomics Technology Platform, focusing on innovative methods and technologies
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Responsibilities Supervised by the PI and will be involved in organizing, analyzing, and interpreting high-dimensional transcriptomic and metabolomic datasets., Assist with data curation and quality control, perform
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the University of Vienna: https://doschem.univie.ac.at/ The employment duration is 3 years. Initially limited to 1.5 years, the employment relationship is automatically extended to 3 years if the employer does not
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the University of Vienna: https://doschem.univie.ac.at/ The employment duration is 3 years. Initially limited to 1.5 years, the employment relationship is automatically extended to 3 years if the employer does not
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start-up, modern laboratory space, and many state-of-the-art core facilities spanning genomics, proteomics, metabolomics, microscopy, to protein structure. The University of Iowa is located in Iowa City
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project will utilize hematopoietic stem cells from mice to identify metabolic factors that drive stem cell aging using flow cytometry, RNA/DNA sequencing, proteomics, metabolomics, immunofluorescence