📣 We are looking for a PhD student interested in Precision Psychiatry to join our team! 📣
The overarching purpose of your PhD project is to improve routine-care predictions of post cognitive behaviour therapy (CBT) outcomes for common mental disorders. Our developed prediction models will be focused on avoiding unnecessary treatment failures, minimizing adverse long-term health and socioeconomic events, and promoting effective use of psychiatric resources. Today, there is a general lack of accurate prognostic risk tools implemented in routine psychiatric care, which directly hampers our possibilities for timely and cost-effective tailored intervention and care. The main objective of your PhD project is thus to construct and validate prediction models for both clinical CBT outcomes and long-term register outcomes using the world’s largest multimodal database in the field (clinical, register-linked, and genetic data) including 5,000 individuals treated with CBT.
You will be supervised by John Wallert and co-supervised by Christian Rück.
Rücklab - Psychiatry research at Karolinska Institutet 