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, dust, smoke, and other atmospheric parameters. Experience in the synergistic use of ground-based, airborne, and satellite observations for atmospheric studies. Experience in the preparation of scientific
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of efficient AI-for-Science systems, leveraging foundation models (including small language models) and parameter-efficient adaptation techniques such as LoRA, grounded in a strong understanding of optimization
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; Skills in computer programming. Workplan and objectives to be achieved: Development of Machine Learning tools for retrobiosynthesis pipelines, including: (i) validation and extension of models and tools
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