Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
data integration, analysis, visualization, and data interpretation for patient stratification, discovery of biomarkers for disease risks, diagnosis, drug response and monitoring of health. The precision
-
environment “Aging Epidemiology” at MEB, which brings together researchers interested in aging from different fields, including twin studies, genetic and molecular epidemiology, and pharmacoepidemiology
-
visual representation Excellent written and verbal communication skills Desirable skills and experience: Knowledge of tenement architecture in at least one case study city, or strong familiarity with
-
they are to visitors/conspecifics, and where visual refuges occur) remain understudied. Their relevance extends beyond zoos, as visibility and access to visual refuge also structure interactions in-situ. This PhD will
-
are playing an increasingly important role in Slovakia, especially in the context of rising prices, pressure to save money and growing interest in sustainable consumption. Consumers perceive them differently
-
program! Data-driven precision medicine and diagnostics covers data integration, analysis, visualization, and data interpretation for patient stratification, discovery of biomarkers for disease risks
-
, analysis, visualization, and data interpretation for patient stratification, discovery of biomarkers for disease risks, diagnosis, drug response and monitoring of health. The precision medicine research is
-
through multi-modal sensing, autonomous UAV platforms, and advanced AI-based analysis. A central focus is the detection of defects in bridges and viaducts using X-ray, LiDAR, visual and acoustic data
-
individuals come from different linguistic and cultural backgrounds (as in the case of Creoles), or when established language communities are introduced with naïve vs. experienced participants (simulating
-
that captures relevant features at different length scales and integrates them into a single reconstruction volume. This PhD project focuses on learning-based phase retrieval in the weak holographic regime