Dr. Yiquan Wang ’s laboratory (Lab Website) in the department of Infectious Diseases and Immunology at the University of Florida is recruiting postdoctoral researchers. The group integrates artificial intelligence, structural biology, and high-throughput experimental techniques to study sequence–structure–function relationships that shape viral evolution and immune recognition. By combining deep mutational scanning, next-generation sequencing, and foundation models, we develop interpretable AI to anticipate viral evolution and enable next-generation therapeutics and vaccines. Research projects will involve engineering high-throughput library-on-library screening platforms for viral immunology, building AI foundation models to predict viral antigenic evolution and design effective antibody, developing interpretable multimodal AI frameworks linking sequence, structure, and function, and designing autonomous AI agents for automated experimentation and data analysis.
Candidates should possess a strong collaborative mindset and enthusiasm for interdisciplinary research. We are seeking experimental candidates with experience in high-throughput techniques such as yeast display and deep mutational scanning, or computational candidates with experience in generative AI, reinforcement learning, or agentic AI. The lab is supported by world-class infrastructure, providing trainees with access to UF’s HiPerGator supercomputing facility, including 50 NVIDIA B200 GPUs, and a high-throughput automated screening platform. We offer a supportive, collaborative training environment with close mentorship and strong support for publications, conferences, internships, and long-term academic or industry careers.
Tagged as: Computer Science, Life Sciences
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