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Field
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 26 days ago
tools for spacecraft applications, specifically leveraging topology optimization and lattice structures. Building upon prior work at JPL, including the open-source lattice design tool UnitcellHub and an
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for manufacturing operations. Process control: process modelling, control, and optimization, with applications in chemical and pharmaceutical manufacturing; data-driven modelling and machine learning applications in
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synthesize high-quality perovskite materials tailored for photovoltaic applications, ensuring optimized properties for solar cell performance. Thin-Film Deposition using various deposition techniques such as
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, scheduling and operations of complex systems. This topic will pursue integrated, holistic planning and scheduling to optimize resilience across several factory systems. Development of AI-based tools and
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while contributing to publications and advancing the field. Responsibilities include conducting high-quality research, analyzing findings, and optimizing experimental protocols. The researcher will
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position in active flow control for wingsail performance and operation. The goal is to develop innovative flow control techniques to optimize aerodynamic performance and reduce vibrations in unsteady
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applications and optimization of bioelectronic devices for selective and controlled therapeutic release. You should hold a relevant PhD (or be near completion) in fields such as biomedical, electrical
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production for lithium-ion batteries, ii) understanding and controlling interfaces for lithium-metal batteries, and iii) synthesis and characterization of catalysts for plasma-assisted catalysis. Research
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exchange and interaction state of the art computing infrastructure (HPC) salary assigned according to the pay scale UKF standard social benefits, e.g. UKF job ticket UKF Your tasks: develop and optimize
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Spectroscopy Description of Group/Project: The AMS group focus on the atomic-scale engineering of the quantum properties of novel nanomaterials. Our aim is to understand and control quantum phenomena with atomic