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Field
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of AI/ML related to omics data analysis. Requirements: Candidates must hold a Ph.D. (or equivalent) in a relevant field and have a minimum of one year of postdoctoral experience. Applicants must
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use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission analysis, and infrared thermography. Industry
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tools. Research topics include geometric modeling of engineering products, methods of geometric analysis, methods of Building Information Modeling, modeling and simulation of construction processes, and
Searches related to complex analysis
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