-
be working primarily with scientific machine learning methods, including symbolic regression and neural networks. You will apply the algorithms to the discovery of new models in different fields
-
, mentoring, research dissemination, networking, manuscript drafting etc. Engagement in cutting-edge research in an emerging area of metabolism, with high potential for discovery and future applications
-
physics and condensed matter theories to address the problem of fracture in complex materials. You will be working with experimental model systems and numerical simulations of materials that exhibit
-
thereafter. Job description You will undertake quantitative research on how echolocating bats and toothed whales use sound to hunt and navigate in complex environments. To do so, you will use state-of-the-art