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, analysis, and project management including Computer-Aided Design (CAD), hydraulic modeling, data historians, pipe stress modeling, and/or others. Knowledge of sustainable design practices. Knowledge
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. The research may involve a combination of commercial process simulation tools and in-house model development for individual unit operations and integrated systems. Hybrid modeling approaches combining first
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Peoria, Quad Cities, Rockford, Springfield, and Urbana. UI Health is dedicated to the pursuit of health equity. Learn more: https://hospital.uillinois.edu/about-ui-health This position is intended to be
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and Electric Machines research group (PEM), which is one of four research groups in the department. The main responsibility of the Professor/Associate Professor will be research and teaching within
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shapes our enduring commitment to academic freedom, free inquiry, and the robust exchange of ideas. Please visit https://www.bu.edu/values/ to learn more about our shared values. We seek scholars who will
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California State University, San Bernardino | San Bernardino, California | United States | about 1 month ago
community. The PHE will be a health-conscious individual modeling a healthy lifestyle and providing a positive role model image for other students. Responsibilities: Under direct supervision, duties include
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California State University, San Bernardino | San Bernardino, California | United States | about 1 month ago
community. The PHE will be a health-conscious individual modeling a healthy lifestyle and providing a positive role model image for other students. Responsibilities: Under direct supervision, duties include
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professionally. Learn more about your project at the Model-Driven Decisions Lab . Job requirements You hold an MSc in computer science, data science, or another relevant subject such as ethics of AI, with
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. We encourage you to apply even if your experience doesn't match every listed requirement. #YouBelongHere To learn more about our background check program, please visit: https://hr.ucdavis.edu
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implementation in Fire Dynamics Simulator CFD code Experimental validation of simulations Machine learning for accelerated evaluation of radiative properties The doctoral degree will be awarded upon successful