93 high-performance-computing-postdoc positions at University of Tennessee at Chattanooga
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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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(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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recognized research program are required for this senior level hire. Application Instructions Applications should be submitted to the online listing at apply.interfolio.com/138048 and include: (1) a cover
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