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) • Big data pipelines, distributed computing, and geospatial data processing • Python, R, SQL/NoSQL, containerization (Docker), Kubernetes • API development and web-based analytics tools • Systems
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, conferences, and popular seminars. (15%) Engaging with partners and possible funders. Participate in career and professional development opportunities. (10%) Engage in ongoing academic and intellectual life
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(https://aihub.osu.edu ). The AI(X) Hub at The Ohio State University is a university-wide initiative to accelerate research, innovation, and education in artificial intelligence. It spans 15 colleges and
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. This is a part-time (up to 49% effort), temporary, non-benefited position. Hours may vary. This position will be responsible for (i) microbial growth, co-culture development, and their physiological
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laboratory activities and maintain the progression of research projects. Supervise research technicians and student employees. Participate in protocol development, data analysis and report/manuscript
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translational mechanisms in muscle biology and inflammatory disorders. Model Development: Contribute to the design and characterization of disease-relevant murine models, including biochemical and pharmacological
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publication record in peer-reviewed journals and possess experience in antimicrobial drug development and molecular target identification. Applicants should have hands-on expertise in one or more of the
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product design & development, investor strategies, financial projections, pricing strategy, pitch development, and more. For more information about NM LEEP Program, please visit https://nmleep.com
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 1 month ago
). The Evolution of the Hunga hydration in a moistening stratosphere. Geophysical Research Letters, 51, e2024GL110841. https://doi.org/10.1029/2024GL110841 Field of Science: Earth Science Advisors: Luis Millan Valle
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experience in one or more of: large-scale data analysis, time-series photometry, spectroscopy, astrometry, Bayesian/statistical inference, and/or software development for astronomical datasets. Department