Sort by
Refine Your Search
-
, combining biomechanical realism, synthetic data generation, and privacy-preserving visualization within a single framework, to enable both clinical assessment and secure, long-term home monitoring. You will
-
and validate a novel single-camera markerless motion capture system, combining biomechanical realism, synthetic data generation, and privacy-preserving visualization within a single framework, to enable
-
, navigation and control, visual landing and event-based vision, scientific deep learning for physical systems, spiking neural networks for event-based systems. Building on this experience, the research line
-
vision for this position (max. 1–2 pages). Executive summary of PhD dissertation. Any sample of related work examples (e.g., data visualizations, code repositories, data analyses) is appreciated. Please
-
outputs. Cover Letter outlining your qualifications and vision for this position (max. 1–2 pages). Executive summary of PhD dissertation. Any sample of related work examples (e.g., data visualizations, code
-
that dynamically support drivers based on cognitive state, workload, attention, and situational context. This includes designing and evaluating multimodal interaction concepts using visual, auditory, and haptic
-
, and construction-task constraints, supporting real-time 3D visualization, human monitoring, algorithm testing, and pre-assembly validation. The platform will serve both as a research environment for