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needed to develop pipelines, apply machine-learning methods and analyze high-throughput sequencing data Substantial postdoctoral experience and an established publication record in AMR, microbial genomics
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populations. Apply Artificial Intelligence (AI) methods including deep learning (DL) models and supervised and unsupervised machine learning (ML) methods for integration and for Genome-2-Phenome (G2P) and risk
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populations. Apply Artificial Intelligence (AI) methods including deep learning (DL) models and supervised and unsupervised machine learning (ML) methods for integration and for Genome-2-Phenome (G2P) and risk
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engineering, system integration, electrical engineering, machine elements, robotics, sensors, mechatronics, and advanced actuator design. As associate or full professor, you are expected to contribute