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(or comparable deep learning models) for image analysis. Demonstrated expertise in digital pathology concepts, including image processing, feature extraction from whole slide images, and working with large-scale
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distribution and the impact of the filter on controller stability. For validating the new concepts as well as the design procedure you will build prototype systems and perform comprehensive measurements in
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will focus on biosafety and in-vivo imaging aspects of the project, and will be hosted by the Functional and Molecular Imaging Group (Prof. Razansky). The second PhD student (this position), hosted by
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The Chair of Sustainable Construction at ETH Zurich invites applications for a 4-year PhD position within the SNF-funded National Research Programme NRP82 project “NewUrbES – Co-creating new urban
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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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Early Development) and Genentech). Leverage state-of-the-art platforms, technologies, and Roche’s core facilities to advance your research. Mentor and guide graduate students through our joint PhD
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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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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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generation and high-speed signal modulation. The project aims to develop quantum communication units on the LNOI platform, including qubit generation, transmission, measurement and drivers as a first prototype
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processes. Job description We are seeking a highly motivated PhD student to further develop this framework by: Implementing numerical solvers for reaction-diffusion systems Extending the biophysical