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nutrition science, biotechnology, engineering or similar Strong written and verbal communication skills in English Experience in computational metabolomics and microbiome research *for students with
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. Build mathematical models of engineered gene and enzyme circuits and integrate these into broader metabolic modelling frameworks. Analyse metabolomics and other experimental datasets to investigate
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Classification Title: Post-Doctoral Associate in Metabolomics and Natural Product Chemistry Classification Minimum Requirements: PhD in chemistry or a related field. Prior experience with LC-MS/MS
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are seeking a Project Manager to lead and coordinate LC-MS and GC-MS based research projects. The successful candidate will manage metabolomics and quantitative assay workflows from study design through data
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perennial ryegrass using high resolution mass spectrometry and computational tools for non-targeted data analysis; perform data processing, statistical analysis, and interpretation of complex metabolomics
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Rutgers Cancer Institute - Cancer Metabolism and Immunology | New Brunswick, New Jersey | United States | about 13 hours ago
; 2020 , 130:3253 Blood: 2022 , 140:2076 Genes & Development: 30:1956; 31:1641 Cell Death & Differentiation: 21:1792; 22:1824 More information: https://www.cinj.org/WenweiHuLab Qualifications: Applicants
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Offer Description KEYWORDS: bioinformatics, metagenomics, metabolomics, cancer, machine learning, artificial intelligence Principal Investigator
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, proteomics, metabolomics, and related datasets. 3.) Collaborate closely with the Investigator and lab members on research projects, including defining the scope of the collaboration, researching the scientific
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, metabolomics, interactomics, lipidomics and proteomics. The course will begin with a set of general lecture overviews of the approaches available, basic theory, and application. The remaining lectures will be
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. Department of Immunology • Translational Omics Group (https://sites.google.com/view/translationalomics-fjd/home ) • Principal Investigator: Dr. Gloria Alvarez-Llamas • Project title: Novel tools for predicting