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, reconstruction and digitisation of metal artefacts. Minimum and specific requirements: graduate holding a Bachelor's degree obtained following completion of long-term university studies in History and/or
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desirable. Familiarity with AI/ML-based approaches for image reconstruction, segmentation, or quantitative data analysis is considered a merit. As a person you are curious, self-driven, flexible
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implementation of relevant software for tomographic reconstruction and image analysis, in collaboration with the beamline team and other internal resources. Drive a research program within national and
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requirement, as well as documented experience in tomographic 3D reconstruction and in using multiple software for 3D image analysis, segmentation and visualisation. The selected candidate must have very
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project, the candidate will undertake 1-month secondments at the University of Bern (UBERN) to work on AI-based image reconstruction, at Eberhard Karls Universität Tübingen (EKUT) to apply the
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application during catheterization procedures. Your research sits at the intersection of medical image analysis, generative AI, and blood flow modeling. You will: develop deep generative models (such
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. The Adult Reconstruction Division, under the supervision of Dr. Sean Ryan, has a Research Technician 1 position conducting arthroplasty research focused on clinical outcomes, costs, resource
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to experimental CT scan equipment, a key component is the computational pipeline to turn acquired CT projections through reconstruction and image analysis into digital volumes and extract relevant
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: Preclinical MRI MRI pulse sequence development and optimization Quantitative MRI analysis Image reconstruction and image processing using Bruker Paravision Micro-CT, optical imaging, photoacoustic imaging, PET
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imaging, including pulse sequence development and image reconstruction. Proficiency with Siemens or GE MR systems, including familiarity with their respective development environments, aiming to support