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-on experience on (ultra) high-performance liquid chromatography hyphenated to high-resolution mass spectrometry; and c) proficiency in the utilization of specific software’s for data processing and interpretation
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subteam develops mass‑spectrometry‑based proteomics, glycoproteomics, and metabolomics methodologies for diverse applications in patient care. Metabolomics developments include, but are not limited
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peptidomimetics will be analyzed by high-performance liquid chromatography (HPLC) before and after incubation with the relevant enzymes. The same samples will also be analyzed by liquid chromatography–mass
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About the Opportunity SUMMARY The Sr Lab Technician of the shared Research Mass Spectrometry Facility within the Department of Chemistry and Chemical Biology will be responsible for operating a key
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, affinity chromatography, immunoblotting, immunohistochemistry, flow cytometry (FACS), experimental glioblastoma models, work with laboratory animals, mass spectrometry and bioinformatics analysis methods
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evaluating new quantitative mass spectrometry methods. Using a broad range of industry vaccine and antigen samples (not live bacteria or toxins) you will assess the specificity and selectivity, as
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a broad community. The scope of the work builds on recent publications from the laboratory, e.g. integrating language models with mass spectrometry data (https://www.nature.com/articles/s42256-021
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Institut de Recerca Biomèdica de Lleida, Fundació Dr. Pifarré (IRBLleida) | Spain | about 1 month ago
Biochemistry, Biotechnology, Chemistry, Pharmacy or related Specific complementary training in mass spectrometry, chromatography, metabolite/lipid analysis or quality management Experience Experience in
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students also are expected to take up teaching assistant tasks. The experimental work involves the study of clusters in molecular beams using mass spectrometry, infrared and visible light spectroscopy using
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Faculdade de Ciências Médicas|NOVA Medical School da Universidade NOVA de Lisboa. | Portugal | 5 days ago
), supported by income from the above mentioned project, financed by the Comissão Europeia, under the following conditions: Field of study AI based interpretation of extracellular vesicle mass spectrometry data