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postdoctoral fellows to uncover, dissect and therapeutically target signaling mechanisms in cancer. We integrate quantitative proteomics, functional genomics, chemical biology, biochemical reconstitution, and
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/ bioinformatician with a strong interest in quantitative biology and mass spectrometry-based proteomics to develop new approaches for extracting biological information from complex mass spectrometry datasets. You
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, demonstrable experience in mass spectrometry-based proteomic analysis or in RNA sequencing, as well as a background in immunology and biochemistry; - Experience in quantitative proteomics data analysis and de
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position within a Research Infrastructure? No Offer Description Activities and context The successful candidate will join a multidisciplinary project spanning immunology, oncology, proteomics, genomics
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NIH awards is available in the The Peng Lab (Department of Ophthalmology, UCLA). Our laboratory combines single-cell multiomics (scRNA-seq, scATAC-seq, spatial transcriptomics), cell-surface proteomics
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– signaling – proteasome – ubiquitination – multiple myeloma – mantle cell lymphoma – cancer – immunology – inflammation – infection – streptococcus – CRISPR/Cas9 – proteomics – targeted therapy Website
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to Search Postdoctoral Research Associate, Neurometabolic Mechanisms of Cognitive Decline Posting Number req27128 Department Neuroscience Department Website Link https://neurosci.arizona.edu/ Location Tucson
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native or intact mass spectrometry is not required but would be valuable should it exist. A willingness to learn advanced metabolomics and proteomics techniques to uncover cellular metabolic regulation
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expertise including cardiac, cellular biophysics, imaging, aging, and proteomics. PI commitment to mentoring and career development opportunities tailored to allow the postdoctoral fellow to transition
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invites applications for a one-year postdoc position, focusing on cellular neurobiology involved in neuropeptide signaling. The candidate is expected to use cutting-edge cell biology techniques, proteomics