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methods such as S-TEM, TGA/DSC. • Familiarity with process simulation software, mass-balance calculations, kinetic modeling, statistical analysis, or data-driven process optimization. • Demonstrated record
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, or robotics. • Knowledge of artificial intelligence, machine learning, computer vision, • sensing, data analytics, simulation, human-technology interaction, or cyberinfrastructure. • Knowledge of construction
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, services, or accommodations during Michigan Tech’s hiring process please notify the Human Resources office at 906-487-2280 or [email protected]. Other Conditions of Employment: Please note that successful
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sponsored research projects: (1) development of an improved calibration and data quality management framework for automated pavement distress collection and processing for the Minnesota Department
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to study and model decision and judgment variability (i.e. noise). The scholar must be ready to conduct research including laboratory studies and simulations, assist in constructing computational cognitive