-
learning and simulation-based inference for searches for dark matter (or other “invisible” new physics signals) at the Large Hadron Collider, with the support of competent and friendly colleagues in
-
binding with simulations and quantitative modeling to gain a physical understanding of life at the molecular level. We are recruiting a Postdoc that wants to use and develop state of the art methods
-
. A central goal is to integrate spatial imaging data with time-resolved molecular measurements, while incorporating physical and biological constraints directly into the model architectures
-
be subject to security vetting. If security vetting is conducted, the applicant must pass the vetting process to be eligible for employment. Please do not send offers of recruitment or advertising