Academic employee (AC-TAP) within imaging analysis and IT infrastructure for imaging data

This entry-level academic position requires foundational expertise in imaging analysis and IT infrastructure related to imaging data. The role is suitable for candidates with a master's degree, indicating a solid theoretical and practical background in relevant scientific and technical disciplines. Key competencies include understanding imaging data acquisition, processing, and analysis techniques, as well as managing and maintaining IT systems that support imaging workflows. Familiarity with common imaging modalities and software tools used for image analysis is essential. Additionally, candidates should have basic skills in data management, storage solutions, and possibly network infrastructure to ensure efficient handling and accessibility of imaging datasets. The position emphasizes collaboration within academic or research environments, requiring the ability to support research projects through technical assistance and data analysis. Strong problem-solving skills, attention to detail, and the capacity to learn and adapt to evolving imaging technologies and IT systems are important. While the role is entry-level, it benefits from a master's education that provides a rigorous foundation in analytical methods, computational techniques, and possibly programming skills relevant to imaging data processing. Overall, the ideal candidate combines academic knowledge with practical skills in imaging analysis and IT infrastructure, ready to contribute to research initiatives by supporting data workflows and technical operations in an academic setting.