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employees, including 120 teachers and 120 PhD students. Approximately 5,000 undergraduate students take one or more courses at the department each year. You can find more information about us on the
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National Aeronautics and Space Administration (NASA) | Hampton, Virginia | United States | 7 days ago
computational libraries for numerical analysis and data processing. The candidate should have experience or demonstrated interest in one or more of the following areas: crystal plasticity, microstructure
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landscapes. The research will cover the following tasks: Critical review of current compliance levels in ESA projects: data analysis of the outcomes of project reviews conducted since the introduction
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reproducible analytical methods, data-processing workflows, and quality-assurance and quality-control procedures Support and train students, early-career researchers and visiting scientists in paleomagnetic and
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indoor air quality, aerosol science, exposure science, and healthy buildings. Projects may combine controlled laboratory experiments, measurements in real-world buildings, data analysis, and modeling
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). Maintain rigorous experimental documentation, data management practices, and reproducible analysis pipelines. Present results at lab meetings, departmental seminars, and scientific conferences; contribute
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separation systems, adsorption modeling, and data analysis. Hands-on experience in adsorbent material structuring/shaping (e.g., extrusion, pelletization, electrospinning) is highly desirable. Proficiency in
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; or sustainability transitions. Research Methods: Demonstrate experience in designing and conducting rigorous qualitative and quantitative research, including the collection and analysis of primary and secondary data
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will be involved in the preparation of scientific manuscripts and competitive research proposals, contributing to the writing, data analysis and presentation of results. LanguagesENGLISHLevelGood
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of excellence to retrieve the highest quality information from image data. The project focusses on implementing an agentic framework for automation of correlative imaging and the corresponding image analysis in