Survival of laryngeal cancer patients has not improved during the last decades. About 25% of laryngeal cancer patients develop local recurrence within the first two years after diagnosis. Early recognition of recurrent disease is crucial for increased chances of cure. Our goal is better prediction and early recognition of recurrent laryngeal carcinoma. We aim to an improved and more accurate prediction by identifying clinical, radiological and molecular features associated with recurrent laryngeal cancer.
• identifying radiological features associated with recurrence in pre-treatment advanced imaging modalities (MRI, PET).
• better recognition of tumor tissue and distinction from non-tumoral treatment induced changes on posttreatment radiological imaging. To achieve this, patholog(y)/ical phenomena and radiological imaging (variables) will be related spatially.
• Early diagnosis with high accuracy and predictive value of radiological and clinical post-treatment follow up of laryngeal cancer patients with liquid biopsy, for detection of circulating tumor DNA in blood samples.
Your tasks will primarily be anatomical and functional analysis of medical images, such as spatial correlation of modalities, histopathological image analysis, analysis of dynamic contrast enhanced MRI using deterministic and probabilistic methods.
The candidate will be working in a multidisciplinary head-and-neck research group, including radiotherapy, radiology, and pathology and the Julius Center for Health Sciences at the UMC Utrecht. This group currently consists of over 10 PhD-students and postdocs and 10 staff members, which is embedded in the imaging division. With close to 200 researchers, the Imaging Division of the UMC Utrecht is one of the largest concentrations of medical imaging researchers in Europe. The division is internationally renowned for its research on image acquisition, image analysis, diagnostic imaging, image-based prognosis, and image-guided interventions. PhD research projects conducted at the Imaging Division are embedded in the PhD program Medical Imaging (ImagO). ImagO provides a broad course program for its PhD students, in the framework of the Utrecht Graduate School for Life Sciences, and organizes various scientific workshops and colloquia.
You have a Master’s degree in (applied) physics or biomedical engineering and you are able to work in multidisciplinary clinical research environment. You have affinity with medical image processing. Preferably, you have programming experience in Matlab and/or C++ to relate clinical outcome of patients to radiological and molecular features. Independent working attitude, good analytical capacities and communicative skills are key for this project.
The maximum salary for this position (100%) is € 2.919,00 gross per month based on full-time employment (work week 36 hours). This job is based on a temporary position for 4 jaar.
In addition, we offer an annual benefit of 8.3%, holiday allowance, travel expenses, career opportunities and personal budget. The terms of employment are in accordance with the Cao University Medical Centers (UMC).
If you have any questions about this vacancy, please contact Mrs.Dr ir Marielle Philippens, Associate professor / medical physicist via phone +31 88 7557209 or email firstname.lastname@example.org.
Acquisition based on this jobopening is not appreciated.