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JOB SUMMARY The UConn Proteomics and Metabolomics Facility (PMF) (https://proteomics.uconn.edu ) has an opening for a full-time Facility Scientist 2. The Facility Scientist will assist the Facility
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. Contributing to departmental innovation overviews, technical reports, publications, and presentations. Where to apply Website https://www.academictransfer.com/en/jobs/357328/senior-scientist-metabolomics/a
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Metabolomic analysis by chromatography-coupled mass spectrometry of biological
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). Collaborating with biobank coordinators and contributing to procedures related to informed consent. Where to apply Website https://www.academictransfer.com/en/jobs/357327/technician-metabolomics/apply
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). Collaborating with biobank coordinators and contributing to procedures related to informed consent. Where to apply Website https://www.academictransfer.com/en/jobs/357330/technician-metabolomics/apply
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interface of bioinformatics, microbiome ecology, and metabolomics, contributing to both computational analyses and laboratory workflows. This position offers the opportunity to lead integrative projects
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analysis of large datasets, high-throughput metabolomics, time-lapse microscopy, to investigate how to pharmacologically interfere with fundamental mechanisms in the regulation of cancer metabolism
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, ranging from antibacterial to anticancer drugs. To this end, we develop new ways to combine state-of-the-art technologies in metabolomics with mathematical modeling. The candidate will have the opportunity
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The University of North Carolina at Greensboro | Greensboro, North Carolina | United States | 1 day ago
metabolomic studies of human diseases, using state-of-the-art instrumentation and tools for biomarker discovery/validation and a better understanding of the pathogenic mechanism of human disease. The position
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, ranging from antibacterial to anti-cancer drugs. To this end, we develop new ways to combine state-of-the-art technologies in metabolomics with mathematical modeling. The candidate will have the opportunity