Topic: training data

EMBL-EBI seeks a scientific developer for the Open Targets Safety 2.0 project. The role builds machine-learning and data-processing pipelines that extract drug side-effect evidence from publications, clinical trials and drug labels, map it to biomedical ontologies, and integrate results with ChEMBL and the Open Targets Platform. The researcher will help curate training data, collaborate with pharmaceutical partners and communicate methods and results. This is a full-time hybrid role based in Hinxton, UK. The advert gives a closing date of 11 October 2026 at 23:59 CET.

Damian Borth describes learning from trained neural networks themselves as a new source of training data. The conversation explores representations of model weights, transferring knowledge across architectures and tasks, and the possibility of specializing models with less computation by reusing what existing networks have learned.