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analysis, with the long-term goal of enabling health-aware battery management and optimized charging strategies. Qualifications Requirements A doctoral degree or an equivalent foreign degree in Control
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2 — additional desirable expertise: reinforcement learning, imitation learning, optimal control, dynamical systems, or related ML areas; experience with physics simulators (MuJoCo). Familiarity with
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to additive manufacturing (AM), virtual manufacturing, material characterization, topology optimization, and real-time sensing. This position resides in the Computational Sciences and Engineering Division (CSED
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liquids and/or deep eutectic solvents for API synthesis; optimization of the process conditions with emphasis on reduction in use of organic solvents; controlling the conditions of the process and its
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, conduct, and optimize laboratory experiments aligned with the project pre-defined goals. Responsibilities include sample collection, processing, and preparation for further molecular, cellular, and
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 18 days ago
stressors, edaphic controls, and functional trait turnover. Geomorphic Gradients & Critical Zone Biogeochemistry: Investigating how landscape evolution as evaluated by hillslope morphology, erosional
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bacteriophage biology in the Lyme disease spirochete Borrelia burgdorferi. The successful candidate will help define how phiBB-1 controls horizontal gene transfer and bacterial adaptation across the tick-mouse
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optoelectronic measurements is highly desirable. This position focuses on the chemical control of III–V CQD surfaces. The researcher will develop surface-reconstructed, low-trap-density CQDs and ligand-exchanged
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, pneumonia, and tuberculosis. Functional/ mechanistic validation of regulatory elements and gene networks controlling inflammation, immune memory, and tissue repair will be implemented using CRISPR inhibition
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focused on the use of enabling technology, such as flow, to control complex chemical processes. With projects in supramolecular synthesis, organic materials, industry processes, automated optimization, and