The TumorScope project (tumorscope.be/) has two medical AI related positions available:
AI-driven radiogenomic analysis for spatial glioma subtyping
AI-driven radiopathomics for molecular glioma subtyping
TumorScope is a joint VUB/UZ Brussels project that aims to build a digital health platform for cancer research, leveraging the unique expertise of an interdisciplinary consortium, to develop AI-driven methods that combine real-world molecular, demographic, clinical and radiomics image data. We focus on cancer as it is a complex disease, with understanding and treatment requiring such multimodal data. Furthermore, we leverage the in-hospital creation of the digital health platform with investigations of the legal and ethical challenges surrounding its development, relating to storage and access of data as well as the use of AI methods for diagnosis. The insights from this research are fed back to the hospital level and connected to practical solutions to enable and stimulate innovative AI-based solutions aimed at improving patient outcomes.
If you are interested in these positions, please have a look at the detailed descriptions here:
tumorscope.be/positions/
Good programming skills (preferentially Python and/or C++) and knowledge of machine learning/artificial intelligence are essential, with skills in discrete mathematics and statistics appreciated. Background knowledge of (structural) biology and (medical) image analysis is a bonus. Candidates must be fluent in English.
Applications must be submitted online at bit.ly/tumorscope_phd, select PhD1 and/or PhD3 depending on the position you are interested in.