Summary
According to a post on X by @jure, Jure Leskovec's lab, together with the Good Lab, is hiring postdocs to build foundation models and AI agents for biology from multimodal biomedical data. The Stanford AI Lab reposted the listing. The lab also reposted a note from Tal Linzen about a new NIH call for proposals on human reasoning that includes computational models. The snippet is cut off, so the full role details and NIH call terms are not shown here.
AI-assisted summary based on the listed source.
What happened
Jure Leskovec's lab, with the Good Lab, is hiring postdocs to build foundation models and AI agents for biology from multimodal biomedical data; the Stanford AI Lab reposted it. The lab also reposted Tal Linzen's note about a new NIH call for proposals on human reasoning that includes computational models. Why it...
Why it matters
Researchers working where AI meets biology or cognitive science may see two new openings. The postdoc roles focus on biology foundation models and agents built from multimodal biomedical data, and the NIH call could fund computational work on human reasoning. Watch for the full job posting and the NIH call's eligibility rules and deadlines, which the source does not provide.
Signal Intelligence
Signal Strength 95%
Technical label WATCH
Public Interest 31
Category DEVELOPING
Reader Depth TECHNICAL
Signal Strength reflects source quality, relevance, freshness and evidence. Public Interest helps organize discovery; it is not proof of truth.
Public Interest components
Recognizable Entity Score 0
Practical Impact Score 36
Novelty Interest Score 72
Consequence Score 34
Curiosity Score 16
Shareability Score 27
Why this is here
VQV surfaced this signal because it is recent, relevant to AI Agents, connected to Scobleizer News Pulse (X).
