Diagnostic pathology involves microscopic evaluation of human tissues. Increasingly, microscopic images are digitized to support the diagnostic workflow. This rapidly growing field of ‘digital pathology’ also yields ample opportunities for development of computer-aided diagnosis (CAD) algorithms. State-of-the-art deep learning methods have recently been proven capable of supporting the diagnostic work of pathologists. We have now reached the point where such algorithms can be implemented in a routine clinical setting. In a public-private collaboration we will start development of deep learning algorithms that will form the basis for future commercial products. For this project we are seeking a PhD student.
You should be a creative and enthusiastic researcher with a MSc degree in a relevant field, such as medical image analysis, computer vision, or machine learning. You should have a clear interest to develop image analysis algorithms and an affinity with medical topics. Good communication skills and expertise in software development, preferably in Python, are essential.
The Computational Pathology Group (CPG) (www.computationalpathology.nl) is a research group of the department of Pathology of the Radboud University Medical Center. CPG works closely together with The Diagnostic Image Analysis Group (DIAG) of the Department of Radiology and Nuclear Medicine. We develop, validate and deploy novel medical image analysis methods, usually based on machine learning technology and focusing on CAD. Application areas include diagnostics and prognostics of breast, prostate and colon cancer. Our group is among the international front runners in the field, witnessed for instance by the highly successful CAMELYON16 and CAMELYON17 grand challenges which we organized. We closely collaborate with clinicians and industry.
Radboudumc aims to be at the forefront of the development of innovative, sustainable and affordable healthcare. Our mission is 'to have a significant impact on healthcare'. We believe we can achieve that by providing excellent quality, participatory and personalized healthcare, operational excellence and by working together in sustainable networks. The starting point for this is patients and their quality of life. Throughout all this, patient care, research and education go hand in hand. To realize our mission, we are searching for colleagues who want to take on this challenge with us; employees who are excellent in their field of expertise and give it their all by pushing boundaries and providing 'that little bit more'. At Radboudumc, you gain the confidence, receive and take responsibility to successfully make these changes. For the best patient care and the best future of healthcare.
Please send a motivation letter with your CV to express your interest in this position. Add a list of followed courses and grades and preferably a reprint of publications in English you have written.
Please contact Dr. Jeroen van der Laak for more information; +31 (0) 6 15891607, email@example.com. Use this Email address only for information. Use the Apply button on this site to apply for this position.