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develop processes for the purification of hydrogen obtained from diol-based carrier molecules and to evaluate possibilities for the use of electrochemical compression processes. In this PostDoc position you
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. The Applied Machine Learning (AML) group is part of the Department for Artificial
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tackle the complex challenges of our time. What you will do Experimental investigations in the field of failure analysis, such as: Light microscopy Scanning electron microscopy Tensile and compression
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. The Sustainable and Modular Networks (SMN) working group operates in an international
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(additively manufactured at Uppsala University) will be the focus of this PhD project. The objectives of this work are to optimize an experimental setup for simultaneous tension/compression testing and
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and training your own AI-based models for image segmentation or image compression, as demonstrated by Git repositories Experience in supervising students and young scientists Good knowledge of materials
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a PDF document (max. 5 MB; compressed PDF documents, archive files such as zip, rar, etc. cannot be processed and therefore considered!) by November 5, 2025, to benjamin.leroy@tum.de / desiree.bienert
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. Become a part of our team and join us on our journey of research and innovation! What
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to world-class science. The scientific management of GSI and FAIR invites applications for the position Head of Department - CBM (all genders) Posting ID: 25.87-5112 The Compressed Baryonic Matter (CBM
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. The Applied Machine Learning (AML) group is part of the Department for Artificial