Topic: machine-learning methods

CIERA recruits researchers for autumn 2027 appointments in theoretical astronomy and astrophysics. Areas of interest include gravitational-wave analysis, stellar and compact-object evolution, interacting binaries, statistical and machine-learning methods with Vicky Kalogera, and protoplanetary and accretion-disk theory with Yoram Lithwick. Researchers receive access to dedicated computing allocations, GPU and high-memory resources, and computational support. Applications received by 15 December 2026 receive full consideration; later applications may be considered until positions are filled.

Friedemann Zenke discusses learning in spiking networks and the challenges of translating machine-learning methods into biologically plausible rules.