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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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and biomedical science. Job description Design and develop mechanical and electronic subsystems for an automated bioprinting platform Integrate hardware and software systems for coordinated control and
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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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, electrical engineering, biomedical engineering, physics or applied mathematics. You should present with expertise in advanced signal and data processing and its applications to cutting-edge imaging. Developing
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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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approaches to study biological or biomedical data with a particular focus on imaging data so as to welcome evolutionary analysis of large-scale molecular or imaging data using statistical and computational
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experience with X-ray methods and imaging Have preferably some additional experience in the biomedical domain and/or in image processing Have preferably some experience using ML models and tools (e.g
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100%, Zurich, fixed-term Do you have expertise in applied electronics and signal processing? Are you interested in applied research on transformative electronic textiles (e-textiles)? Your research
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Postdoctoral researcher in the area of endoscopic video enhancement 100%, Zurich, fixed-term 19.06.2025 | Biomedical Image Computing - BMIC Junior Controller:in