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with at least one ML framework (scikit-learn, transformers, etc.) · Familiarity with data structures and algorithms · Git proficiency for collaborative development Highly valued
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production. By developing hybrid architectures combining ontologies, generative models, reinforcement learning, and uncertainty quantification, the PhD project addresses the challenges identified by ICCARE in
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.) · Familiarity with data structures and algorithms · Git proficiency for collaborative development Highly valued: · Previous work with LangChain, LlamaIndex, or similar retrieval and agent
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