-
for BlueMaterials?, bridges the different techniques developed within the cross-area imaging and gives support to all researchers dealing with image processing challenges. By focusing on automation and enabling
-
processing challenges. By focusing on automation and enabling correlative imaging in particular, it will streamline image processing efforts and enable the elucidation of specific mechanisms of water-material
-
of image processing e.g. using machine learning German skills For further questions, contact Dr. lmke Greving (imke.greving@hereon.de). We offer you an exciting and varied job in a research centre with
-
), proteomics (LC-MS/MS), (epi)genomic data processing, multi-omics integration, machine learning approaches for high-dimensional data, confocal / two-photon imaging, tissue clearing and light-sheet microscopy
-
-based imaging system at HZI, perform experiments in prototype systems, and provide critical feedback to collaborating engineers to optimise the system. The ultimate aim of the system is to provide
-
access to the technology Hubs by the SyNergy Cluster of Excellence. These include advanced platforms for single-cell and spatial transcriptomics, high-resolution imaging, multiomics, and neuropathology
-
natural and AI-designed protein domains, along with an engineered fusogenic protein. The technology has been recognized with the m4 Award, the GO-Bio next program, and is currently under revision in a top