-
for action ("affordances") shape neural representations, perception, and behavior. Why this position? You will sit at the center of a uniquely cross‑disciplinary team and work closely a network of
-
aspirin-responsive molecular networks. Using high-throughput multiomic approaches, the project will define aspirin-induced changes in trophoblast signaling, inflammatory pathways, and vascular regulatory
-
: The candidate must have a PhD and extensive experience in modern deep neural network-based techniques. The ideal candidate should have: A PhD and a strong record of research or applied work in deep learning, with
-
rational strategies for next-generation therapeutics. The Lu Lab develops 2D/3D spatialtemporal omics, spatial pharmacology, and computational/AI approaches to map, model, and reprogram how cells
-
molecular epidemiology studies of traits related to cardiovascular disease using large-scale population biobanks including but not limited to the Million Veteran Program (>1.1M), the Women’s Health Initiative