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systems, or large-scale data pipelines. Evidence of open-source software development, reproducible research practices, and successful interdisciplinary collaboration. Demonstrated record of scholarly
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, root imaging) with biogeochemical, microbial, or environmental sensor data. Experience analyzing large datasets in reproducible formats (R, etc.) Demonstrated interdisciplinary and systems-level approach
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 4 hours ago
on the safety of our people and missions in space. Such investigations, and related relevant topics, are the main targets of this opportunity and can span analytical investigations to data analysis to space
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(45%) • Support statistical analyses of large data sets from an epidemiological cohort, investigating associations with birth outcomes using both targeted and nontargeted data (25%) • Support
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work independently as well as in a team. Experience in large-scale research project management and development, knowledge of statistics and big data analysis would be highly desirable. The appointee will
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At the University of Vienna almost 11,000 personalities work together towards answering the big questions of the future. Around 7,700 of them do research and teaching, around 3,000 work in
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at the Large Hadron Collider (LHC). The successful candidate will contribute to a broad research program that includes physics analysis, detector performance studies, experiment operations, and upgrade
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bioinformatics and spatial analysis techniques to large-scale spatial transcriptomics and imaging datasets, using tools such as MuSpAn to identify spatial biomarkers and uncover the biological mechanisms driving
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18 Sep 2026 Job Information Organisation/Company KTH Royal Institute of Technology Research Field Computer science » Other Economics » Other Engineering » Control engineering Engineering » Systems
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information and data through observation, experimentation and various other methods, to include operating highly technical laboratory instruments and equipment. -Analyze sequencing data from large sample sets