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Field
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scientific research uses computer vision to pioneer new methods for 3D cellular structure analysis and cryo-electron tomography (cryo-ET). Dr. Qirong Ho – Assistant Professor of Machine Learning and Computer
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, and structural biology. His core scientific research uses computer vision to pioneer new methods for 3D cellular structure analysis and cryo-electron tomography (cryo-ET). Dr. Qirong Ho – Assistant
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-performance computing for one or more of the following: (1) reconstruction of 3D+ structure, heterogeneity, and/or dynamics from scattering and/or microscopy data; (2) autonomous analysis and decision making
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24 Jul 2026 Job Information Organisation/Company ETH Zürich Research Field Computer science » Other Engineering » Other Researcher Profile Established Researcher (R3) Application Deadline 30 Sep
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: This position is part of an extramurally well-funded research program and offers excellent opportunities to contribute to high-impact publications and to develop an independent research trajectory, including
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Chair and Institute of Man-Machine Interaction | Aachen, Nordrhein Westfalen | Germany | 2 months ago
2026 - 21:59 (UTC) Country Germany Type of Contract Temporary Job Status Full-time Hours Per Week 39,83 hours/week Is the job funded through the EU Research Framework Programme? Not funded by a EU
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imaging (crucial) Experience with image segmentation, deep learning, or computer vision. Experience with 3D image processing or inverse problems. Experience with experimental research and data acquisition
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of novel volumetric representations and computational imaging methods for paired visible-light and X-ray images, as well as extending computer vision techniques from the visible-light RGB photography domain
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. This position will primarily require collecting data on a recently acquired MINFLUX 3D microscope and assisting users with experimental design, sample preparation, and basic data analysis. Occasional assistance
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, you will be tasked with ensuring students on the programme are introduced to a range of sculptural and 3D approaches at level 4 and support the ongoing development of students working in these areas