PhD candidate in AI/Machine Learning for Medical Image Computing in collaboration with the Dept. of Behavioural and Cognitive Sciences
The junior group in Imaging AI develops applied AI research focused on biomedical signal analysis and medical image computing. The general aim of the group is translating bleeding edge algorithms from fundamental AI and imaging research closer to a concrete biomedical application.
We are looking for highly motivated candidates who share our passion for research, are interested in acquiring new skills and wish to be part of an international and multi-interdisciplinary team. The specific project is a close collaboration with the Dept. of Behavioural and Cognitive Sciences and revolves around multi-modal data fusing / joint embedding architectures for imaging and cognitive markers, in particular for pain assessment.
In our team, we follow a leadership concept of promoting independent work and autonomous collaboration of team members towards common goals. We expect doctoral candidates to actively contribute with their diverse experiences to the projects of their peers, in order to move forward together. In return, we offer individual mentorship, an always open door and support external trainings and personal development efforts tailored to the individual needs of candidates.
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