Netherlands: PhD position for Integrated Classification of Breast Cancers to Optimize Treatment Protocols at Radboud University Nijmegen Medical Centre

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Job description

Transcription-induced (epigenetic) deregulation in prostate cancer

Understanding the nature of breast cancer is not easy. There are many different subtypes and outcome profiles. Nevertheless the ability to adequately classify an individual breast tumor is still lacking. Consequently treatment strategies are tailored to the breast cancer patient in general and hardly take individual parameters of different tumors into account. Nevertheless for each patient many different cancer characterizing parameters are present, running all the way from environmental factors to multimodal imaging characteristics and from gross pathology to advanced DNA analysis. VPH-PRISM  is a large multi-institutional project funded by the European Committee that aims to spatially integrate all these cancer features in a virtual breast model for routine clinical assessment, treatment planning, therapy monitoring, and research.

The aim of this subproject is to obtain advanced imaging (mainly MRI) of breast cancers and the surrounding tissue (the tumor stroma) in vivo and after resection and to directly spatially correlate these features to dedicated histopathological analysis. Tasks consist of active patient recruitment, assistance in image acquisition in patients, acquisition of specimen MRI scans, optimization of experimental MRI sequences, evaluation of experimental MRI sequences in terms of diagnostic accuracy, annotation of images, assistance with pathologic processing of specimen and correlation of imaging features with pathology.  Simultaneously, based on the data generated, automated analysis tools will be developed by colleagues with a background in physics or computer science. Close cooperation will be mandatory. The overall goal is to better understand obtained radiological information, analyze tumor growth patterns and identify specific feature combinations to which therapy may be adapted.

Requirements

  • You should be a creative and enthusiastic researcher with an MD degree or MSc degree in Technical Medicine, and be registered in the medical professions register (BIG).
  • Experience or interest in radiology and/or pathology and affinity with biomedical research.
  • Excellent communication skills in English, both writing and speech.

Conditions of employment

  • Temporary
  • 36 hours per week
  • Scale 10A: max € 38600 gross per year at full employment (incl. vacation bonus and end of year payments)

Organisation

Radboud University Nijmegen Medical Centre (RUN MC)

Department

Department of Radiology

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 university nijmegen Center is a leading academic centre for medical science, education and health care with over 10,000 staff and 3,000 students.

Department of Radiology
The project will be carried out in the breast imaging division at the department of Radiology and in close cooperation with the breast division of the department of pathology. Yearly about 200 breast cancer patients are treated here. There are strong ties to the Diagnostic Image Analysis Group (DIAG), located at our department. DIAG investigates and develops computer aided diagnosis in a broad range of medical imaging applications. Close cooperation between clinicians and scientist is key to the success of breast research. Currently, 12 researchers are actively involved in breast research, including 8 PhD students (www.diagnijmegen.nlwww.radiology.nl).

Additional information

You will be appointed at the Radboud university medical center, department of Radiology, with the standard salary and secondary conditions for medical PhD students in the Netherlands. Your performance will be evaluated after 1 year. If the evaluation is positive, the contract will be extended to 3 years.

For further information please contact prof. Nico Karssemeijer Nico.Karssemeijer@radboudumc.nl or dr. Ritse Mann Ritse.Mann@radboudumc.nl.

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