Collection of data is of crucial importance for any research group. For a machine learning group, it is even more important. Large amounts of good quality data are essential to build machine learning solutions which can really make a difference in clinical practice. This is even more paramount given the recent developments in the area of deep learning, which requires a lot of training data to be able to learn tasks directly from the data.
We are looking for a Data Manager to lead the maintenance of clinical and research imaging databases. The role of the candidate is to lead the design, implementation and management of medical imaging databases. The candidate will have a strong understanding of databases and data analysis procedures. The successful applicant will work closely with software developers, researchers, and clinicians to collect, maintain, and analyze the collected data for the development of computer-aided diagnosis algorithms.
The Diagnostic Image Analysis Group (DIAG) is a research division of the Department of Radiology and Nuclear Medicine of the Radboud University Medical Center Nijmegen. Nijmegen is the oldest Dutch city with a rich history and one of the liveliest city centers in the Netherlands. Radboud University has over 17,000 students. Radboud UMC is a leading academic center for medical science, education and health care with over 8,500 staff and 3,000 students. The focus of the Diagnostic Image Analysis group is the development and validation of novel methods in a broad range of medical imaging applications. Research topics include image analysis, image segmentation, machine learning, and the design of decision support systems. Application areas include neuro, breast, prostate, lung and retina imaging and digital pathology. Key to the success of the group is close cooperation with clinicians. Currently the group consists of around 40 researchers.
This application has been filled.