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This project is a collaboration between the Multiphase Fluid Dynamics group (Prof. Supponen) at the Institute of Fluid Dynamics, and the Functional and Molecular Imaging group (Prof. Razansky
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researcher will have the opportunity to contribute to the courses taught by the members of the BMIC group, including Image Analysis and Computer Vision and Medical Image Analysis. Teaching is not a mandatory
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from diffusion tensor imaging of the heart along with all parameters determining the measurement process itself. Job description The position to fill concerns advanced data synthesis (both via machine
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headed by Prof. Iber, which leverages imaging data to develop data-driven, mechanistic models of biological processes. The team employs cutting-edge computational tools and imaging techniques
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to benefit from latest advances in hardware technologies the ICON model was ported to run on Graphics Processing Units (GPUs) and is one of the first model that can be used in production
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career as a principal investigator. Possess a strong track record of innovation in computer vision, AI, and/or causal inference, with a passion for applying these to human model systems. Exhibit
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paradigm shift in urban design, planning, and construction by transforming urban infrastructure into “more-than-human” living spaces—environments designed to be inhabited by both people and non-human species
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automation Develop embedded control systems and support real-time system feedback integration Collaborate with bioengineers to ensure functional compatibility and safe operation Support system validation
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Digital Image Correlation and stress wave analysis, and the development of custom material subroutines within finite element software to accurately reflect experimental observations. This is a hands-on
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the one hand, we have a coworking space and offer coaching. On the other hand, we have a greatly equipped Makerspace that gives students access to the tools and equipment they need to prototype. As our