PhD Candidate in Multi-Modality Breast Imaging
Radboud University Medical Center (Radboudumc)
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Benefits offered by this job
Job summary
Radboudumc seeks a creative researcher to advance joint tomosynthesis and ultrasound imaging. You will handle data preprocessing and the core reconstruction work, validating with phantoms and guiding early patient images.
You will collaborate closely with a PhD student and industry partners for translation and clinical evaluation. Applicants should hold an MSc in a physical or engineering field, with experience in image processing, modelling or inverse problems, and proficiency in Python, C/C++,
Qualifications
- MSc or equivalent in a quantitative field such as physics, maths, CS, engineering or medical physics.
- Experience with physics modelling, inverse problems or image processing is desirable.
- Proficiency in Python, C/C++, MATLAB or similar and strong English communication.
Responsibilities
- Work on x-ray data preprocessing and joint reconstruction for tomosynthesis and ultrasound.
- Validate methods with digital and physical phantoms; aim for first patient images.
- Collaborate with the ultrasound-focused PhD student and industry partners for clinical evaluation.
Skills
Education
Tools
Job description
Radboudumc seeks a creative researcher to advance joint tomosynthesis and ultrasound imaging. You will handle data preprocessing and the core reconstruction work, validating with phantoms and guiding early patient images.
You will collaborate closely with a PhD student and industry partners for translation and clinical evaluation. Applicants should hold an MSc in a physical or engineering field, with experience in image processing, modelling or inverse problems, and proficiency in Python, C/C++,
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