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the interrogation of chiral systems down to the nanometer scale.Please enter text here Project background Chirality describes whether an object is non-superimposable with its mirror image. Despite being a purely
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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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processes, and environmental fluid dynamics. We use a broad spectrum of technologies in microbiology and microfluidics, as well as advanced imaging techniques, and are a large (approx. 35 members), highly
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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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website . Please do not change the internal structure of the templates, and please adhere to the file-naming conventions explained below. Incomplete applications will not be processed. Table 1: Document
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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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100%, Zurich, fixed-term We have an open PhD position in Human-Computer Interaction with a focus on intelligent and adaptive systems for Augmented Reality, Mixed Reality, and Extended Reality
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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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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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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