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background in formal verification, neural network verification, software testing or machine learning robustness. Proven research track record with publications in reputable conferences or journals. Ability
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the correctness, robustness and reliability of deep neural networks and AI-enabled software systems. Job Responsibilities: Develop novel methods and algorithms for the verification, testing and robustness analysis
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complex dynamic environments. Robot platform and sensor system hardware and software integration. Algorithms and systems verification and validation. Report writing and presentations. Job Requirements
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, fabrication data, inspection results and carbon footprint information. Develop, train and validate AI models to automate QA/QC processes, enabling real-time verification, anomaly detection and consistency