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Centre de Mise en Forme des Matériaux (CEMEF) | Sophia Antipolis, Provence Alpes Cote d Azur | France | 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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understand and predict the behaviour, health and biodiversity of animals. Together, the PhD candidates strive for a better understanding of the ‘digital physiology’ of animals: how behaviour, , pathogens
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safety practices related to natural gas, hot water and chilled water distribution systems. Knowledge of process controls operation and programming, instrumentation and metering. Knowledge of methods used
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and the core values that are critical for the long-term strategic growth of our division and the university. For more information, please visit https://finance.rutgers.edu/ . Posting Summary Rutgers
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | 2 months 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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smoking and tobacco use at all of its university-controlled properties. The UC San Diego Annual Security & Fire Safety Report is available online at: https://www.police.ucsd.edu/docs/annualclery.pdf
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the changing climate. The appointee will work in the research team supervised by the Associate Director of Research, on projects that include the prediction of flooding in coastal areas, wave runup and coastal
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access and reporting tools. - Coordinate regular data quality checks and process audits to ensure compliance and ongoing suitability of operating processes and controls. - As needed, help fulfill requests
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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-soil-microbe interactions
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Robot Control from Expert Demonstrations and Self-Experience”. Learning-based predictive decision-making for autonomous systems under uncertainty: This PhD project is focusing on advancing proactive