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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 1 month ago
Designated Countries can be found at: https://www.nasa.gov/oiir/export-control . Eligibility is currently open to: U.S. Citizens; U.S. Lawful Permanent Residents (LPR); Foreign Nationals eligible
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Job Description In the context of Industry 4.0, predictive and prescriptive monitoring are among the key tasks enabling the anticipation and prevention of errors, thereby reducing maintenance costs
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statistical methods. Supported by the ARPA-E TEOSYNTE and CERCA projects, this position is part of a national effort to improve nitrogen use efficiency on farms by modifying genetic pathways that control root
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Centre de Mise en Forme des Matériaux (CEMEF) | Sophia Antipolis, Provence Alpes Cote d Azur | France | about 2 months ago
process control requiring high-performance numerical tools for upstream optimization of the process PhD objectives: The CINDERELLA project aims to accelerate the mastery of the L-PBF process by considering
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relying on up-to-date research, the program strives to help growers produce high quality vegetables while minimizing pesticide inputs. The program also develops real-time GIS-based predictive models of pest
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exchangers (HX) for optimizing thermal storage in silos. The researcher will deploy conjugate heat transfer CFD models and conduct simulations to provide high-fidelity predictions of available power, charging
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without shortages. The project will explore the use of historical demand and supply data, along with auxiliary information, within a Predict-then-Optimize (PtO) framework. This PtO framework will leverage
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strengths: Human Variation and Functional Genomics Metabolic Dynamics and Organ Crosstalk Physiological Control of Metabolic Homeostasis Cardiometabolic Research in Society and Culture Read more about the
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defects, are currently a major limiting factor for metal printing. In nanomedicine, various nanoparticles are used for controlled drug delivery and therapies, and laser-excited nanobubble-inducing shockwave
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-driven and machine-learning approaches for the analysis and integration of complex neural and movement data, supporting new insights into the mechanisms underlying human motor control and rehabilitation