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for the capture, processing, and dissemination of 3D digital twins of cultural artifacts using cutting-edge imaging and rendering technologies.
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100%, Zurich, fixed-term The ODI group at the Institute of Machine Learning is looking for highly motivated postdoctoral researchers with expertise in reinforcement learning (RL) to join our team
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Your profile Candidates should have an exceptional academic record and a robust mathematical foundation. They should have published works at the main conferences in the field of machine learning
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Consolidator project “Burgeon” aiming at understanding the connection between tectono-geomorphic processes and the origination of biodiversity. The Laboratory of Ecosystem and Landscape Evolution is an
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, Matlab, C++) for developing new simulation frameworks or image processing algorithms Experience in or willingness to learn independently operating additive manufacturing systems (DED and LPBF), including
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imaging, single cell tracking and quantification, large volume 3D bone marrrow imaging with single molecule sensitivity, and ai-supported computational analysis. Job description We are seeking a highly
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. You will perform microstructural characterization of dry coated electrodes using physical and machine learning based methods and the electrochemical assessment of the electrodes in battery cells. Your
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students. The institute has also published at most of the major machine learning, computer vision, and robotics conferences, including CVPR, NeurIPS, ICCV, ECCV, ICML, ICLR, IROS, AISTATS, as well as in
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utilises cutting-edge recording techniques, including two-photon calcium imaging, high-density Neuropixels electrophysiology, and spatial transcriptomics, alongside computational analyses, to uncover novel
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https://www.biozentrum.unibas.ch/bumann tackles these challenges by analyzing patient biopsies using advanced imaging techniques and mass spectrometry. The post-docs will lead projects investigating how