Sort by
Refine Your Search
-
science/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning
-
for catalysis of sustainable chemical processes. Visualizing Chemical Dynamics in Real Time Apply advanced atomic-resolution imaging and image analysis to uncover surface dynamics, reactivity and molecular
-
the Clinic for Radiology. As one of Germany's leading university radiology departments, we provide all outpatients and inpatients at UKM with state-of-the-art diagnostic imaging and image-guided therapy
-
advanced molecular and cell biological techniques, including variant screening, RNA expression analyses, immunofluorescence microscopy, and transmission electron microscopy Collecting and processing patient
-
(https://www.cliccs.uni-hamburg.de/about-cliccs/cliccs-ll.html ). In CLICCS-M4, we are further developing the unique ICON-Coast model within the ICON Earth System Modelling Framework. The objective
-
microscopy, microscopy, light sheet fluorescence microscopy) and flow cytometry is an advantage Confident handling of Microsoft Office (Excel, PowerPoint, etc.) and image processing software (e.g. ImageJ
-
provide detailed insights into the atomic-level processes. By linking mechanistic understanding at the atomic scale to system-level performance, this project aims to establish design principles that can
-
the mechanistic details of biological processes using diverse experimental systems. We apply state-of-the-art technologies, including high-resolution fluorescence microscopy, quantitative proteomics (HDX and XL MS
-
. Application procedure Your complete online application must be submitted no later than 15 March 2026 (23:59 Danish time). Apply online here: PhD Scholarship in Immunoinformatics Applications must be submitted
-
Human-centric Digital twins for monitoring robotized biostimulants application practices. University Milan (IT) & Université Libre Bruxelles (BE) Position E Optimizing Images Quality and Deep Learning