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maintaining a preventive maintenance program on conveyance equipment, components, and systems, and completing an approved Washington State Maintenance Control Program (MCP) and other documentation requirements
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status is evaluated by a set of different biomarkers that can be used either (i) for diagnosing a disease; (ii) establishing prognosis or (iii) predicting a patient's chance of responding to treatment. New
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of interest to you. PhD position combining high dimensional data for the genomic prediction of methane emissions. Wageningen University & Research’s Animal Breeding and Genomics group leads the Global Methane
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Charité–Universitätsmedizin Berlin (Dr. Rosanna Sammons); for further information, see https://www.sfb1315.de/ - development of network models of the CA3 region of the hippocampus - investigation
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transfer This research combines advanced numerical simulation and artificial intelligence to develop predictive models for high-temperature multiphase flows, with specific relevance to steel casting
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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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Optimization (AI/ML) Developing AI/ML models to predict drillability issues based on mechanical rock properties Real-time parameter optimization (WOB, RPM, flow rate, etc.) using machine learning techniques
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | 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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prediction approach for pennycress and winter camelina improvement. Post-Doctoral Associates conduct research and/or services that provide further development of career skills or allow them opportunities
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trends and composition analysis, refractive index determination, and morphology for applications such as environmental monitoring, nuclear non-proliferation, and improving predictive modeling tools (e.g