The University of British Columbia (UBC) is recruiting postdoctoral fellows for interdisciplinary research in AI × Life Sciences, with a focus on AI for biology, computational neuroscience, and reinforcement learning for autonomous laboratory systems. These positions are hosted in the Tang Lab, Michael Smith Laboratories, and the Department of Computer Science. Fellows will develop interpretable and autonomous AI for multi-scale and multi-modal spatiotemporal biology, working closely with experimental groups and leveraging high-performance GPUs and rich datasets. The research areas include next-generation computational and machine-learning frameworks for single-cell, spatial, and multi-modal omics, uncertainty quantification, interpretable and biologically plausible modeling, and foundational AI tools for biological discovery in cancer, regenerative medicine, and neuroscience. Additional opportunities exist in computational neuroscience, focusing on multi-modal data integration, neural circuit modeling, and biologically grounded representation learning. Another track involves reinforcement learning and decision-making algorithms for autonomous laboratory platforms, including closed-loop experimental design and integration of VLA models with real-world laboratory systems. Applicants should have expertise in deep learning, representation learning, multi-modal learning, generative modeling, uncertainty quantification, computer vision, 3D modeling, video processing, multi-view learning, point clouds, reinforcement learning, control, active learning for experimental design, multi-agent learning, robotics, VLA models, interpretable and explainable machine learning, mechanistic interpretability, and domain experience in single-cell and spatial omics, neuroscience, or cancer genomics. A biomedical background is not required. The positions offer strong support for high-impact publications and collaboration with interdisciplinary teams. For more information and to apply, visit the Tang Lab website or email Prof. Xin Tang with your CV and research interests. Applications are reviewed on a rolling basis.