40 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions in Switzerland
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of a dynamic and international group of researchers who share a common vision to contribute to top-level academic research in the fields of machine learning. You will have access to state-of-the-art
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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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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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capability to identify and quickly learn the most suitable tools for the research on the go. Interested in topics related to the research, such as computational design, performative design, circular economy in
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science, chemistry, electrical engineering or a related discipline Strong background in materials informatics and data science Proficiency in Python programming Experience in machine learning for materials
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fundamental discoveries in biology and medicine as well as several Nobel Laureates. Become part of our community! In Prof. Torsten Schwede's group, we use computational methods, with a strong focus on
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to support computational design synthesis and generative engineering design across different representations. A variety of potential application areas will be investigated including consumer products, machine
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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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100%, Basel, fixed-term In the framework of an SNF-funded project, titled “Restoring high-resolution vision using optogenetics”, explanted human retinae will be investigated and recorded from by
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, particularly on measurements and searches using jet substructure and development of advanced techniques in particle tagging, including applications using machine learning, and are expected to take leading roles