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(AI), health informatics, health information and communication, epidemiology, environmental engineering, systems modeling, natural language processing, and machine learning and a strong desire to grow
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high-enthalpy facilities; (4) multiscale modeling of the interaction of the hypersonic flow environment with surface structures and materials; (5) hypersonic flight test design, execution, and interface
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should describe the applicant’s professional background, education, and relevant experiences; qualifications and fit for the position, including experience in evidence-based assessment and intervention
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Scientific Machine Learning within Mechanical and Aerospace Engineering, specifically where physics-based modeling intersects with data-driven learning. Areas of interest include, but are not limited to: high
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complementary research interests in artificial intelligence (AI), health informatics, health information and communication, epidemiology, environmental engineering, systems modeling, natural language processing
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be available to meet with applicants at KDD 2025 and AMCIS 2025. Full consideration will be given to applications received before July 31, 2025. A background check is required before the successful