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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 20 days ago
-control . Eligibility is currently open to: U.S. Citizens; U.S. Lawful Permanent Residents (LPR); Foreign Nationals eligible for an Exchange Visitor J-1 visa status; and, Applicants for LPR, asylees
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, environmental remediation, science, and technology. The Fellow will gain exposure to all aspects of project execution, including project management, engineering, budgeting and cost control, regulatory and
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implications in didactical contexts Have an excellent command of English for international academic publishing and a good command of Danish, as the empirical basis and intervention activities of the ABIS project
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or equivalent approaches. Automated experimental testing, instrument control or data acquisition using tools such as LabVIEW, Python or MATLAB. Pre-employment checks and declarations Your employment is
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entitled: “Metal-organic frameworks for efficient carbon dioxide capture from water”. The project aims to develop functional metal-organic framework (MOF) materials and MOF-based composites with controlled
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-predictive control and optimization strategies, run high-performance numerical experiments, analyze data, and communicate your findings through journal publications and conference presentations. The ideal
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-predictive control and optimization strategies, run high-performance numerical experiments, analyze data, and communicate your findings through journal publications and conference presentations. The ideal
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or equivalent approaches. Automated experimental testing, instrument control or data acquisition using tools such as LabVIEW, Python or MATLAB. Pre-employment checks and declarations Your employment is
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and/or numerical analyses assist in the preparation of research reports and manuscripts perform other duties as assigned Requirements a Ph.D. degree in physics or a related discipline good command
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, intelligent experiment control, and scientific workflows. Join an interdisciplinary team at the interface of AI, microbiology, and laboratory automation to shape the future of data-driven live-cell analysis