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have strong background and research experience in at least one of the following areas: (1) Chemical biology; (2) Anticancer drug research; (3) Cancer biology; (4) Mass spectrometry; (5) Proteomics
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
Vacancy ID: PDS004700 Position Summary/Description: Dr. Jun Li's lab (https://jlilab.org) at the University of North Carolina at Chapel Hill is recruiting postdoctoral researchers to join his
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, especially genomics, transcriptomics, proteomics and/or metabolomics, and have a good grasp of statistics. Experience working with genomics databases like ENCODE and familiarity with RNA-seq, eCLIP, and other
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are subject to the University's background check policy. The work location for this position is in-person on campus at Princeton University. Applications must be submitted online at https://www.princeton.edu
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the Cornell Institute of Biotechnology (http://www.biotech.cornell.edu ) offers cutting edge biotechnologies, expertise in applications, technology testing and development, and consultation for life sciences
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Institute of Biotechnology (http://www.biotech.cornell.edu ) offers cutting edge biotechnologies, expertise in applications, technology testing and development, and consultation for life sciences researchers
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6 Nov 2025 Job Information Organisation/Company University of Rijeka Faculty of Medicine Department Center for Proteomics Research Field Biological sciences » Biology Biological sciences
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candidate will lead efforts to elucidate how the intracellular protozoan parasite Toxoplasma gondii exploits the host ESCRT machinery to support its growth. This will involve applying biochemical, proteomic
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diabetes. The successful candidate will utilize LC/MS-based functional metabolomics, proteomics, cell-based functional studies, and advanced receptor screening and ligand-binding assays. We Offer: 2.5-year
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cultured endothelial cells and mouse models, integrated multi-omics (e.g., bulk and single-cell RNA sequencing, metabolomics, proteomics), quantitative imaging and causal inference, and targeted gene