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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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researchers in coding experiments and other projects. Successful candidates will have a basic understanding of the programming paradigm, will be able to debug code with little assistance, be a problem solver
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100%, Zurich, fixed-term The enhancement of endoscopic videos is a critical yet complex task. These videos are integral to various clinical interventions, where the clarity of imaging data is
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collaboration to combine their expertise. By integrating these complementary approaches, we aim to provide the first comprehensive picture of Hsp90's structure–dynamics–function relationship, with broad
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to receiving your online application by 15 September 2025, including the following documents: CV Academic transcripts Cover letter (including motivation and earliest possible start date) Relevant code samples
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-enhancing tool. Job description Design and prototype interactive XR environments in Unity3D, both for the use in Augmented Reality and Virtual Reality for simulation Develop optimization-based adaptation
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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: bio-imaging/bio-microscopy, biophysics, single molecule tracking and force spectroscopy, micro/nanofluidics, electron microscopy, scanning probe microscopy, biosensors and bioelectronics. Thematic links
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, electrical engineering and computer science to design highly efficient and sensitive imaging and inference approaches to help guide diagnosis and treatment in cardiovascular patients. Project background Our
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and refactoring source code for computational and data science applications both on the methodological and implementation side or deploying and integrating applications to adequate compute environments