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(including doctoral research) in an analytical chemistry laboratory. The ideal candidate will have strong skills in mass spectrometry (coupled with HPLC), data analysis, ability to handle multiple priorities
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
Benefits and Services click here Quick Link https://unc.peopleadmin.com/postings/322997 Posting Contact Information Department Contact Name and Title Stephanie Fleming, HR Consultant Department Contact
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focus will be on introducing new AI models to chart the chemical âœdark matterâ of the mammalian metabolome; examples of such models include large supervised or self-supervised AI models for mass
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renovated in January 2022 with over 3000 square feet and has purchased a large number of new instruments/facilities to facilitate the research in porous materials such as Rigaku SmartLab X Powder X-ray
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science or remote sensing, or a related field. Good programming skills (e.g., Python). Familiarity with satellite data or other large numeric data files. Knowledge of physics or biophysics. Knowledge
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25 Jul 2026 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Engineering » Chemical engineering Engineering » Materials engineering Researcher Profile
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Science, or Information Science, with no more than five years post receipt of the PhD. The position requires experience with at least one of the following: Data Science, Machine Learning, Computational Social Science, Big Data
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Python, R or a similar scientific programming language, with a focus on reproducibility and open-source best practices Demonstrated experience in geospatial data analysis and the management of large
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
Description The Center of Interdisciplinary Data Science and Artificial Intelligence (CIDSAI) at NYU Abu Dhabi seeks to recruit a highly motivated Post-Doctoral Associate to work on topics in
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numerical modeling. Experience in modeling and evaluating the impacts of climate and climate change, large-scale data analysis and interpretation, and independent research is required. Certifications/Licenses