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engineering or related fields. Candidates should have a strong research record in LLM-based agents, reinforcement learning, or large language models, preferably in areas closely aligned with the topics outlined
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modeling and simulation tools DESIRED QUALIFICATIONS: Experience using NONMEM, R, Monolix and/or other platforms for analysis of clinical and/or preclinical pharmacology data; development of web-based tools
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