Sort by
Refine Your Search
-
imaging, including CT and MRI scans, is critical in the management of nearly all types of cancer. These technologies are integral from the initial detection and diagnosis to staging, treatment planning
-
genetic profiles combined with imaging parameters, and artificial intelligence. Our ongoing research activities include genome-wide associations studies, development of eye-on-a-chip and patient-specific
-
for the development of therapeutics. In this project, we will develop in vitro and in vivo imaging techniques to study ion transport in the kidney. In this project, you will: Establish novel kidney organoid models
-
picture of glycosylation on MPL. Moreover, you will generate glycosylation gene knockouts using CRISPR-Cas9 gene editing in induced pluripotent and hematopoietic stem cells, followed by hematopoietic
-
medicine, clinical technology, or equivalent. Experience with Geant4 or other relevant software tools used for dose calculations and treatment planning (e.g. Monte Carlo codes, image segmentation, Python
-
software in different MRI scanner environments. The development of an image-guided radioembolization procedure in phantoms, ex-vivo and in-vivo animal models. Determine safety and effect on image quality in
-
to optimize research in the use of Artificial Intelligence (A.I.) in neuro-oncology imaging and generate relevant insights into the relation between A.I.-generated characteristics and outcome in neuro
-
medical imaging AI and integrate this to improve treatment of patients with liver tumors? In the AI-IMAGINE project we aim to develop AI with real clinical impact. Will you join our ambitious team? As a PhD