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Vision-Language Models (LVLMs). Knowledge and experience in pre-training and fine-tuning of LLMs/LVLMs. Knowledge of Retrieval-Augmented Generation (RAG) using LLMs. Programming experience in Python, data
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for spectral and spatial data pre-processing, as well as on machine learning algorithms, chemical map reconstruction, and algorithmic correction of galvanometric scanning.; Training will cover Python programming
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the required test scripts in Python/Matlab. c) Propose a test plan and a test setup using semi-automated test procedures. Task 3: Test procedure validation (6 weeks) a) Conduct the proposed test plan
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