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in proteomic analysis Development of new methods for sample preparation, chromatographic analysis, LC-MS data acquisition and data interpretation, with a focus on histone analysis YOUR QUALIFICATIONS
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Additional Information Work Location(s) Number of offers available1Company/InstituteUmeå universitet stipendiemodulCountrySwedenCityUmeåGeofield Contact City Umeå Website https://www.umu.se STATUS: EXPIRED X
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technologies. Experience with imaging technologies and computational data analysis preferred. Strong publication record and evidence of research independence. Excellent communication, teamwork, and problem
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27 Mar 2026 Job Information Organisation/Company Universitat de Barcelona Department Organisation profile Research Field Chemistry Researcher Profile Recognised Researcher (R2) Positions Postdoc
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of all aspects of higher education. More information about us can be found on our website: http://www.chalmers.se/math/ At the Division of Algebra and geometry , we conduct research at a high international
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. Topics of particular interest are: the mathematical aspects of quantum field theory, semiclassical analysis, many-body and open quantum systems, quantum information and computing, quantum statistical
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-series analysis, and environmental data analysis. • Demonstrated experience in artificial intelligence, including machine learning and deep learning, applied to hydrological or water-related systems
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environments and standard software tools for data analysis, model training, and evaluation. Ability to independently implement, test, and document applied research solutions, with prior experience through
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Project (https://excelsior2020.eu/ ), ERATOSTHENES CoE aspires to become a Digital Innovation Hub for Earth Observation and Geospatial Information by offering knowledge, responsible research, open
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state-of-the-art approaches including single-cell and spatial transcriptomics, circuit tracing and connectomics, and automated behavioral analysis. In close collaboration with the Verstreken and de Wit