Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
. Postdoctoral Researcher – Automated Correlative Image Analysis for BlueMaterials Reference code: 992 Work location: Rostock Join the Cluster of Excellence “BlueMat: Water-Driven Materials” (www.tuhh.de/bluemat
-
interdisciplinary research project in molecular ultrasound imaging using functionalized, monodisperse microbubbles. The project aims to understand how the acoustic response of microbubbles changes upon molecular
-
engineeringEducation LevelPhD or equivalent Skills/Qualifications We are seeking a scientist with: Expertise in image-based biological tissue modeling and simulation Good command of deep learning Expertise in coding and
-
Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Postdoc Position in Multiphoton Intravital Imaging
-
date: 21.11.2025 Job description:Postdoctoral Researcher - Automated Correlative Image Analysis for BlueMaterials Job ID: 922 Location: Hamburg Join the Cluster of Excellence ?BlueMat: Water-Driven
-
National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 2 hours ago
Organization National Aeronautics and Space Administration (NASA) Reference Code 0213-NPP-MAR26-JPL-PlanetSci How to Apply All applications must be submitted in Zintellect Please visit the NASA
-
or clinical domains. Strong knowledge of MRI data formats (DICOM, NIfTI) and image preprocessing tools (e.g., MONAI, SimpleITK). Excellent programming skills, demonstrated through available code or projects
-
Eligibility criteria Instrumental optics and imaging (microscopy, camera detection) for biology. Skills in coding and experiment control. Basics of machine learning and/or signal processing. Teamwork
-
formats (DICOM, NIfTI) and image preprocessing tools (e.g., MONAI, SimpleITK). Excellent programming skills, demonstrated through available code or projects, with proficiency in Python and deep learning
-
management of brain diseases. In the present project, we work of next generation AI models to extend the molecular imaging capacity of Magnetic Resonance Imaging (MRI). Building on the various contrasts