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imaging. The successful candidate will therefore be working primarily as an AI/image-processing researcher, developing deep-learning models for medical images.
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, Human-Robot Interaction, Imaging Technology, Machine Learning, Medical Informatics, Medical Robotics, Natural Language Processing, Neuroinformatics, Optimization, Physical AI, Probabilistic Models
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and repair, with a focus on the mesothelium, serosal cavities, and the liver. Using intravital imaging, we track cell behavior and dynamics in real time within living tissue, linking cellular mechanisms
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background Recent work has unsettled the layered picture of sub-Neptune interiors. Evidence for extensive miscibility between metal, silicates and hydrogen and for the strong coupling between deep interiors
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to advanced X-ray imaging applications. The SNSF-funded project ABSOLUTE (nAnoassemBled catalySt and electrOchemicaL processing for hUge aspecTratio microstructurEs) focuses on developing an innovative catalyst
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www.musec.ethz.ch Job description You will lead all single-cell and spatial transcriptomics work, working closely with an international team of PhD students and postdocs and in direct collaboration with Prof. De Bock
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processing, machine learning, and human-computer interaction. The goal of this PhD is to develop neuromotor interfaces for dexterous robot teleoperation using two sensing modalities: 1) surface
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100%, Zurich, fixed-term The Neurotechnology Group of Prof. Mehmet Fatih Yanik at ETH Zurich is recruiting outstanding postdoctoral researchers and PhD students to join a newly funded LOOP Zurich
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, networking, storage performance, checkpointing, and scheduling Support the Apertus serving stack, which builds on the same images (operation of the serving stack is owned by a separate engineer) Profile
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the following documents as PDF-files: cover letter with signature and date. evidence that the PhD thesis was at least submitted. complete CV with publication list; important: all dates must at least include month