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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 17 hours ago
Physical Sciences (APS) is the first new science department in the College of Arts and Sciences in nearly 40 years. Including the Chapel Hill Analytical and Nanofabrication Laboratory (CHANL) and the
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, pharmacology, genomics and multi-omics, as well as growing methods in advanced analytics of health data e.g. machine learning to improve human health with a focus on therapeutics. These posts will work alongside
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proof-of-concept study using protein A resin (as a model resin), 2 IgG product streams produced by a platform CHO cell lines and advanced analytical methodology (including LC-MS, ELISA and CE-SDS
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for theranostic applications. Develops and optimizes bioconjugation strategies for peptides, antibodies, proteins, and small molecules. Performs analytical characterization using techniques such as HPLC, LC-MS, NMR
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: Design and conduct laboratory experiments. Characterize materials using advanced analytical techniques (XRD, SEM-EDS, ICP-OES/ICP-MS, FTIR, Raman and thermal analysis). Process and statistically analyse
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knowledge of data analysis and processing, programming, and development of analytical models. Experience with databases and quantitative analysis tools. Ability to work with large datasets and computational
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recordings, intracranial stimulation studies, and sleep evaluations. Apply quantitative and analytical approaches to interpret multimodal research data. Utilize programming and data analysis tools such as
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proteomics, metabolomics, analytical chemistry, biochemistry, systems biology, bioinformatics or a related discipline. Relevant experience in mass-spectrometry-based omics, quantitative data analysis and
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fragmentation approaches utilised in the field of proteomics; the ability to carry out analytical procedures that are applied for proteome characterisation to a high degree of precision; able to analyse
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methods. The ability to carry out analytical procedures that are applied for proteome characterisation to a high degree of precision including sample preparation, LCMS and data analysis is also essential