- Specifications - (explanation)
Location Nijmegen Function types PhD positions Scientific fields Health, Computer Science, Physics, Engineering or Biomedical Sciences or similar Hours 36.0 hours per week Education University Graduate Translations en
Job description
Currently,
breast screening is almost exclusively performed with mammography, even
though it is known that some women are at a much higher risk to develop
breast cancer or have dense breasts, in which sensitivity of
mammography for detecting cancer is low (<60%). The aim of this
project is to develop methods to personalise breast cancer screening.
Firstly, reproducible quantitative markers characterizing breast density
patterns in mammograms will be investigated and these will be related
to the risk of developing breast cancer and the risk of missing a cancer
with mammography. Secondly, techniques will be developed to increase
feasibility of automated breast ultrasound imaging in women with dense
breasts. These will include automated image analysis methods for
computer aided decision support and advanced visualisation tools to
combine ultrasound and mammography, or to compare screening exams over
time. Research will be carried out in a large EU funded consortium in
which ten partners cooperate.
Requirements
- You should be a creative and enthusiastic researcher with an MSc degree in Computer Science, Physics, Engineering or Biomedical Sciences or similar
- Interest in medical imaging and affinity with biomedical research
- Excellent communication skills in English, both writing and speech
- Expertise in software development, preferably in C++
Conditions of employment
- Schale 10A: max € 38090 gross per year at full employment
- Closing 15-08-2012
Organisation
Radboud University Nijmegen Medical Centre (RUN MC)
Nijmegen www.umcn.nl/ UMC St Radboud
Radboud University Nijmegen Medical Centre (RUN MC) is a leading academic centre for medical science, education and health care. Knowledge forms the heart of our organisation, connecting research, education and patient care. Over 10,000 staff and 3,500 students are committed and ambitious to contribute to the future of health care and medical science.
Driven by knowledge, empowered by people.
Radboud University Nijmegen Medical Centre (RUN MC) is a leading academic centre for medical science, education and health care. Knowledge forms the heart of our organisation, connecting research, education and patient care. Over 10,000 staff and 3,500 students are committed and ambitious to contribute to the future of health care and medical science.
Driven by knowledge, empowered by people.
Department
Radiology
The
project will be carried out in the Diagnostic Image Analysis Group
(DIAG) at the department of Radiology. DIAG investigates and develops
computer aided diagnosis methods to support clinicians in a broad range
of medical imaging applications. Research topics include image analysis,
image segmentation, machine learning, and the design of decision
support systems. Application areas include breast, prostate, and lung
imaging. Key to the success of the group is close cooperation with
clinical partners and a disease oriented approach. Currently the group
consists of 35 researchers, including 20 PhD students.
Additional information
For further information please contact Prof. Nico Karssemeijer (n.karssemeijer@rad.umcn.nl) or Dr. Bram Platel (b.platel@rad.umcn.nl). Use these email adresses only for information, for application use the apply button.
More information about employer
Radboud University Nijmegen Medical Centre (RUN MC)
on AcademicTransfer.
Direct link to this job opening: www.academictransfer.com/15054
Bron: http://www.academictransfer.com/employer/UMCR/vacancy/15054/lang/en/
Bron: http://www.academictransfer.com/employer/UMCR/vacancy/15054/lang/en/
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