1 dag geleden - Delft University of Technology (TU Delft) - Delft
Aircraft noise modelling and climate effects of aviation
This PhD project is part of the NWO-TTO funded Simon Stevin Master award. The overarching aim of the project is to improve disease prognosis by integrated analysis of imaging and genetic data. We will address ...
This PhD project is part of the NWO-TTO funded Simon Stevin Master award. The overarching aim of the project is to improve disease prognosis by integrated analysis of imaging and genetic data. We will address this challenge by developing methods for supporting the analysis of the relation between genetic data, imaging data, and disease outcome. Whereas the project focus will be on the development of novel analysis techniques, this development will take place in the context of different, societally relevant biomedical applications, primarily in the field of dementia and oncology. The use of state of the art machine learning and deep learning methods will be a main part of the project. In this project, the PhD student will work together with other image analysis researchers as well as with clinical researchers.
You should be an independent and highly motivated researcher with an MSc or MEng degree in a technical domain (e.g. Computer Science, Physics, Biomedical Engineering, Mathematics). Good programming skills are required. Experience with machine learning, image processing, and medical imaging is an advantage. You should be able to communicate and work with researchers from various clinical and technical fields.
Being able to present a certificate of good conduct is a condition for the appointment.
A healthy population and excellence in healthcare through research and education. This is what Erasmus MC stands for. Conducting groundbreaking work, pushing boundaries and leading the way. In research, education, and healthcare. We are practical people with a high level of expertise, working hard to improve and renew the healthcare of today and the public health of tomorrow.
The Biomedical Imaging Group Rotterdam (BIGR) is part of the departments of Radiology & Nuclear Medicine and Medical Informatics of Erasmus MC - University Medical Center Rotterdam, in the Netherlands. BIGR develops and validates novel image analysis techniques for biomedical applications and is internationally at the forefront of quantitative medical image analysis. We offer a dynamic, challenging, and cooperative research environment. We have excellent access to large-scale imaging studies (clinical, epidemiological, and biological) and we collaborate closely with clinical and epidemiological experts from different departments within Erasmus MC.
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