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Field
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interdisciplinary team, the candidate will work closely with both the Q-NEXT Argonne Quantum Foundry along with the Quantum Metamaterials group within the Materials Science Division at Argonne National Laboratory
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higher-purity acid products, impurity valorization, and more sustainable industrial processing. The successful candidate will work on: Developing and optimizing selective purification and impurity-recovery
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National Aeronautics and Space Administration (NASA) | Merritt Island, Florida | United States | about 5 hours ago
. These one- to three-year fellowships are competitive and are designed to advance NASA’s missions in space science, Earth science, aeronautics, space operations, exploration systems, and astrobiology
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background in molecular biology and cell biology. Experience working with animal models. Demonstrated scientific curiosity, initiative, and commitment to research excellence. Ability to work independently
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processing. The successful candidate will work on: Developing and optimizing selective purification and impurity-recovery strategies for acidic and aqueous media, including selection of reagents, precipitation
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experimentation, modeling, simulation, and optimization of chemical processes. The successful candidate will work on the development of advanced process models combining experimental investigations with
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, and bioactive compounds from plant, food, microbial, and human samples; develops and optimizes analytical methods; analyzes complex datasets using metabolomics and statistical software tools
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 14 days ago
. These one- to three-year fellowships are competitive and are designed to advance NASA’s missions in space science, Earth science, aeronautics, space operations, exploration systems, and astrobiology
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experimental work in chemical or process engineering (desirable) Knowledge of process optimization, parameter estimation, or control methods is a plus Programming experience in MATLAB and/or Python Familiarity
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-bandgap-key-future-green-electronics, https://c3nit.se/ Subject description The purpose of this project is to develop a data-driven approach for optimizing the growth of semiconductor materials by combining