6 health-informatics PhD scholarships in Austria

2 PhD Positions (m/f/d) in Visual Computing for Mixed Reality, Group Leader Kalkofen

Graz University of Technology | Austria | 9 days ago

3 Dec 2025 Job Information Organisation/Company Graz University of Technology Department Institute of Visual Computing Research Field Computer science Researcher Profile First Stage Researcher (R1

PhD Candidate: New Materialism in Human-Computer Interaction

University of Salzburg | Austria | 15 days ago

Health and Preventive Care: i.a. health programs, vaccination and preventive care campaigns, psychological counseling sessions Additional Benefits:Click here (German only) Website for additional job

PhD Position: Machine Learning / Medical Imaging

Computational Imaging Research Lab (CIR), Department of Biomedical Imaging and Image-guided Therapy | Austria | about 1 month ago

5 Nov 2025 Job Information Organisation/Company Computational Imaging Research Lab (CIR), Department of Biomedical Imaging and Image-guided Therapy Research Field Computer science » Modelling tools

PhD Position (m/f/d) in Analysis and Visualization of Geometry and Time-dependent Data, Group Leader Schreck/Augsdörfer

Graz University of Technology | Austria | about 1 month ago

5 Nov 2025 Job Information Organisation/Company Graz University of Technology Department Institute of Visual Computing Research Field Computer science Researcher Profile First Stage Researcher (R1

PhD Position (m/f/d) in Machine Learning and Natural Language Processing, Group Leader Roman Kern

Graz University of Technology | Austria | 3 months ago

17 Sep 2025 Job Information Organisation/Company Graz University of Technology Department Institute of Machine Learning and Neural Computation Research Field Computer science Researcher Profile

15-20 fully funded PhD fellowships in AI/ML, Molecular Technologies and Systems Medicine

Nature Careers | Austria, | Austria | 3 months ago

sciences and artificial intelligence, and translate your findings to improve human health? Are you excited to develop and use machine learning approaches to gain new understanding of the molecular physiology