-
omics platforms (e.g., fluorescence microscopy, mass spectrometry imaging (MSI), Raman systems) and will develop computational and statistical data analysis methods to improve data quality, information
-
(preparation and staining (IF, IHC), confocal and fluorescence microscopy, analysis and evaluation) Experience with quantitative analysis of imaging or physiological data (e.g., microscopy, cardiac imaging
-
scientist with a strong background in: MR Physics, Data Science, Biomedical Engineering, or a related discipline Solid experience in MRI acquisition and data analysis, ideally in cardiac and/or brain imaging
-
. Responsibilities include: Designing and executing behavioral learning paradigms with social and non-social reinforcement In vivo calcium imaging during learning and sleep Quantitative analysis of neural activity
-
analysis of omics and/or imaging data Interest in working with and for the digitalization of the ELM community. Self-driven and hands-on personality. Organization and prioritization skills. Very good
-
part of the Forschungsverbund Berlin (https://www.fv-berlin.de/ ) and the Leibniz Association (https://www.leibniz-gemeinschaft.de ). You can find more details on the institute webpage: https://www.ikz