Assistant Professor of Physiology (Computational/AI Focus)

Large Language Models (LLMs), Generative AI, or advanced natural language processing (NLP) to advance mechanistic understanding in Neuroscience, or Gastrointestinal Endocrinology, or Reproduction, or Respiratory Physiology . The successful candidate will establish an externally funded research program, contribute to high-quality teaching, and leverage computational approaches to revolutionize physiological research. Key Responsibilities Research: Establish and maintain a vigorous, independently funded research program focusing on the application of Large Language Models (LLMs) to physiological data, such as mining literature for mechanistic insights, modeling system interactions, or developing AI-driven diagnostic/predictive tools in their specialized field (Neuro/GI/Repro/Resp). Teaching: Deliver high-quality instruction in physiology courses to graduate and professional (medical/dental) students. Develop curriculum incorporating computational physiology and AI literacy. Mentorship: Mentor graduate students, postdoctoral fellows, and undergraduate trainees in both traditional lab techniques and computational methodology. Service: Participate in departmental, university, and professional society committees. Collaborate with clinical departments to foster translational AI initiatives.