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As a deep learning engineer at MRIguidance, a UMC Utrecht spin-off company, you will apply the newest deep learning methods on unique 3D medical image datasets ofreal patients to develop algorithms that characterize human anatomy and aid doctors and patients in hospitals worldwide.
What you tell at birthdays about yourjob
“My software prevents cancerin patients that need to undergo a bone scan. It creates images that help doctors to better diagnose and cure their patients.”
What you actually will be doing
You will be a key contributorto the core development of our MRI data analysis pipeline forthe visualization and characterization of different tissues types. You are an innovative thinker and will be working in the intersection of medical image analysis and the development of deep learning methods and algorithms, applied to real patient data. You like to learn new things and get things done. With the team, you will integrate these solutions into our products. Yourresults will boost ourtechnology and help us to achieve high quality, clinical grade products. Your solutions will soon be used in clinical patient examinations. You will use agile and scrum methods and work in vibrant entrepreneurial team of image scientists and developers.
Your responsibilities:
Minimum qualifications:
Preferred qualifications:
This is what we offer you:
During their research MR physicist Peter Seevinck and medical image scientist Marijn van Stralen identified great unused potential for MRI-based medical imaging technologies. Together with Roel Raatgever, former director of Europe’s no.6 academic business incubator UtrechtInc, they have founded UMC Utrecht spin-off company MRIguidance. The team of MRIguidance actively collaborates with hospitals in the Netherlands and abroad to acquire unique patient data sets and clinically validate the results of the deep learning developments. MRIguidance’s products will improve diagnosis and are used for surgical planning and guidance.
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