Sort by
Refine Your Search
-
methodological innovation to real-world clinical application. You will work with multimodal biomedical datasets (omics, imaging, spatial data, and patient data) and apply cutting-edge AI technologies such as graph
-
: generative models for explainable patient representations, multimodal data fusion, vision-language models, and anomaly detection. Also includes student supervision and EU project coordination. Requirements
-
to advance beyond classical segmentation networks toward multimodal, prompt-based, and foundation-model approaches for clinically deployable medical AI. Your Responsibilities Develop and evaluate novel
-
research program focused on developing next‑generation multimodal imaging systems spanning the mesoscopic to microscopic scale. As part of a major research project and supported by extensive national and
-
of nursing staff. The sub-project ‘Multimodal Behaviour Analysis and Interaction’ deals with the development and implementation of methods for automatic knowledge extraction, multimodal behaviour analysis and
-
Department of Foreign and International Social Law is seeking applications for one Postdoctoral Position (m/f/d) for the Research Group PERGAP “The (Mis)Perception of Economic Inequality: The Impact of Welfare
-
, biophysics, epi /genetics, (bio)informatics, and multimodal data analysis. In this project, we will elucidate the molecular mechanisms that enable sperm to sense their chemical and physical environment, with a
-
multimodal data analysis. Over the past decade, our institute has pioneered exome and genome sequencing in order to map the genomic landscape of male infertility, particularly focusing on non-obstructive
-
integration of robotics, artificial intelligence and perception. Its three central innovation sectors are the future of health, the future of work, the future of the environment, and the future of mobility. 70
-
-XRF, Raman, FTIR in reflection mode) to enable multimodal data fusion and automated material characterization. • Apply and further develop machine-learning and statistical models (e.g. PCA, SAM