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, enjoys working closely and respectfully within a team and has basic experience in hands-on lab work and in data analysis. Prior experience in optical imaging, nanofabrication, data processing is highly
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Biology, Bioinformatics, Cancer Biology, Molecular Biology, Pathology, or a closely related discipline. Strong background in spatial omics technologies (e.g., spatial transcriptomics, high-plex imaging
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Vitrobots and related grid preparation facilities and three Titan Krios microscopes, all hosted and maintained at ETH Zurich’s imaging facility, ScopeM. Appropriate computational resources are also readily
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Vitrobots and related grid preparation facilities and three Titan Krios microscopes, all hosted and maintained at ETH Zurich’s imaging facility, ScopeM. Appropriate computational resources are also readily
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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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support productivity workflows, guided by emerging large language models. Candidates ideally have a background in Computer Science and prior experience with human-computer interaction (e.g., through courses
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The NOMIS Foundation–ETH Fellowship Programme supports postdoctoral researchers at ETH Zurich within the Centre for Origin and Prevalence of Life (COPL). The programme is intended to foster
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vehicles. Another research focus is on solid-state pulse modulators for medical applications (computer tomography/cancer treatment) and accelerators (CERN). For the design and optimisation of the various
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. Dagmar Iber, which uses advanced imaging and computational tools to develop data-driven, mechanistic models of biological systems. Located in Basel, the Department of Biosystems Science and Engineering (D
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found here: Biomaterials Engineering Laboratory . For questions regarding the position please contact Prajwal Agrawal (no applications). We would like to emphasize that the pre-selection process is