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retrainable pipelines, model-wrapping services, LLM prompting logic, data pre/post-processing components, and explainability hooks. The research will examine how design patterns, principles, and quality
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on developing methods for the verification and validation of systems that embed machine learning or generative models, addressing challenges such as non-determinism, data drift, and explainability. The project
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trustworthy evolution of AI-enabled systems For this position, we are looking for a candidate with a background in software development, data analysis, and artificial intelligence and an interest in Software
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