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-augmented generation (RAG) approaches Systems and mathematical modeling of biological or complex systems Natural language processing and machine learning Data harmonization and integration Record of research
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genetically diverse mice under a multitude of conditions, and (3) develop multimodal machine learning models and methods to determine signatures and biomarkers to understand mechanisms distinguishing
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) develop multimodal machine learning models and methods to determine signatures and biomarkers to understand mechanisms distinguishing spontaneous versus precipitated withdrawal episodes. The spontaneous vs
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date). Demonstrated research experience with quantitative ultrasound methods. Strong background in model‑based or physics‑informed machine learning, with experience developing algorithms that integrate
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machine learning and computational methods Work with medicinal chemists for drug discovery projects Act as key member of a multidisciplinary drug discovery project team, assisting with development
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), electrophysiology, genotyping, brain stimulation (tES, TMS), computational modeling and/or machine learning. For all our projects, we seek post-doctoral researchers who aim to take leading roles in projects