Sort by
Refine Your Search
-
Category
-
Country
-
Field
-
-resolution transmission imaging alongside complementary modalities such as light microscopy, cathodoluminescence, and focused ion beam processing. By combining the strengths of multiple imaging techniques
-
high-performance computing resources support volumetric image rendering, large-dataset processing, and 3-D visualization at the scale whole-brain microscopy demands. The work is supported by multiple
-
institute in materials science and advanced characterization. The candidate will have access to the FastNano Liquid platform, enabling operando monitoring of PISA processes through SAXS and Raman spectroscopy
-
project focuses on developing probabilistic latent-variable methods for large and structured biological data, with applications in genomics, spatial transcriptomics, and fluorescence imaging. High
-
. Proficiency in standard molecular and cell biology techniques, including RT-qPCR, ELISA, immunocytochemistry, and Western blotting. Experience with sample preparation, imaging, and image analysis using confocal
-
. Enforcing these is hard when the data, the model, and the rules belong to different parties, none of whom can hand over what they hold. Privacy-preserving AI protects data and models but not rules, while
-
focused on the development of next-generation compact hyperspectral spectropolarimetric cameras. Hyperspectral imaging enables simultaneous acquisition of spatial and spectral information, supporting
-
of the observed phenomena. Advanced image processing techniques will also be applied to analyse low-dose recorded images. Beyond ion irradiation, the project will explore how laser illumination and mechanical
-
circulating narratives that combine language, images, personal stories, and emotional appeals. Such narratives can shape how migration is understood, intensify political divisions, and mobilise civic action
-
Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V. | Dortmund, Nordrhein Westfalen | Germany | 3 months ago
fields Experience with image analysis, or computer vision Good knowledge of basic machine learning techniques, such as variational autoencoder Good presentation and writing skills Proactive, independent