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that gap by exploring connections between AI models and low-rank tensor decompositions, providing a rigorous mathematical framework to address key questions:- When are learned representations interpretable
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the extracellular matrix, as well as advancing related technologies toward biomedical applications. The successful candidate will contribute to our lab’s microscale studies on the role of extracellular
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and Processing Time Series Analysis, Clustering, and Decomposition Techniques Real-Time Data Integration and Pattern Recognition Hands-on Experience with Sensors and Data Collection Devices EU Energy
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the extracellular matrix, as well as advancing related technologies toward biomedical applications. The successful candidate will contribute to our lab’s microscale studies on the role of extracellular
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matrixed environment, have excellent organizational skills, and be able to analyze, interpret and communicate data in a logical and timely manner. The candidate is also expected to supervise a team of