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Field
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data driven approaches (experimental dataset physics based model dataset) to achieve process optimization, defect prediction and property prediction in various AM processes. The additional specific
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candidate will work collaboratively with investigators across the Division to develop innovative therapeutic formulations, optimize drug delivery systems, perform mechanistic and translational studies, and
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technologies and apply their scientific and technical knowledge to research and inform energy challenges. The DOE Office of State and Community Energy Programs (SCEP) is seeking ORISE fellows to participate in
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conditions. Optimize the MRTOF mass spectrometer for routine operation. Advance our spatially resolved laser ablation ion sources for mass calibration and spectroscopic applications Lead the Canadian Ba
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optimization of advanced energy storage systems utilizing coal-derived and other carbon materials as battery electrodes. The successful candidate will conduct experimental research spanning materials development
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approaches to optimize the trade-off between privacy and utility especially in the context of large models. Advance knowledge of key AI methods such as deep learning, algorithm design, probability theory
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-scale conditions and evaluate recycled bio ashes as a source of nutrients or growth-promoting components. The research will optimize cultivation and exposure conditions, quantify metal uptake by
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. The project focuses on developing sustainable and optimized processes for the purification of industrial acidic and complex aqueous media through the selective removal and recovery of impurities to enable
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process modeling, simulation, and systems analysis Experience with experimental work in chemical or process engineering (desirable) Knowledge of process optimization, parameter estimation, or control
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. The duties and responsibilities for this position will be to: 1) Analyze data with the STAR/LHCb experiments. 2) Contribute to the EIC physics program and the optimization of the EPIC backward HCAL project