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Field
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modeling and environmental data analysis, such as Python, MATLAB, Fortran, C/C++, or comparable languages and tools. Ability to work with large datasets and to integrate these data with acoustics models
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from MD Anderson Cancer Center, Rice University and UTHealth School of Biomedical Informatics. Job Duties Analyzes large data sets. Analyzes next generation sequencing data (e.g., RNA-seq, whole genome
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a curated catalysis database supporting AI-driven catalyst design. Release data, workflows, and benchmarks via the Materials Project and Genesis AmSC; publish in peer-reviewed journals and present
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investigating the biology of brain and ovarian aging and the connections between reproductive aging, systemic health, and longevity. These projects will integrate large-scale human datasets, including the UK
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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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. Experience with conjoint analysis (e.g., discrete choice experiments and best-worst scaling), experience with large scale survey and retail data, portfolio in substance use or other health-related areas, and
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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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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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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