Open PhD Position in ML for treatment response prediction in glioma
Multi-modal machine learning in radiology, digital pathology and molecular profiles to predict individual disease course in glioma patients
Please apply here: https://oc.meduniwien.ac.at/en/open-phd-positions
Adult-type diffuse glioma comprises multiple tumor types sharing diffuse infiltrative growth with destruction of large parts of the brain, and poor patient outcome. Their diagnosis and prognosis is based on the systematic integration of magnetic resonance imaging, histological imaging features and molecular markers including DNA sequence, structural alterations and methylation patterns.
In this PhD project you will develop novel machine learning methods (specifically representation learning methods) to link these modalities for individual diagnosis, and prognosis. We want to understand how they together predict the future of individual patients, and what their associations can tell us about the molecular mechanisms, that shape the phenotype, its change over time, and the possible response to treatment.
You will be part of a network: You will be member of the CIR Lab, and the newly founded Comprehensive Center of AI in Medicine (https://caim.meduniwien.ac.at). This will enable you to interact with a vibrant community of ML researchers across different medical fields. Your position is funded by the Austrian Science Fund (FWF) as part of a multi-disciplinary FWF funded doc.fund.connect program, and you will join together with 4 other students, enabling close interaction and joint work during your PhD studies.
Your profile: Master in computer science, bioinformatics, or related fields, with a focus on machine learning or computer vision. Experience with medical imaging data, and/or sequencing data are a plus.
Open Data Manager Position
We are hiring a data manager for the CD Lab Machine Learning Precision Imaging. Please feel free to forward this information to anybody who might be interested. The position is part of research in the area of machine learning, medical imaging and precision medicine. The data includes imaging, molecular diagnostic data, sequencing data, collected in both retrospective, and prospective studies. The data manager will work in an exciting interdisciplinary environment at the CIR Lab, with specific focus on the CD Lab: http://www.meduniwien.ac.at/mlpi
Please apply here until April 23rd: https://www.meduniwien.ac.at/web/en/karriere/offene-stellen/personalmitteilungsblatt-nr14/25/nr14-radiologie-kennzahl-237/25/