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Job Description The Department of Energy Conversion and Storage, Technical University of Denmark (DTU), invites applications for a PhD scholarship in the development of all solid-state Li-metal
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. Experience working with deep learning software stacks, extensive software development experience, and knowledge of machine learning frameworks (such as transformers, torch, Megatron, triton etc.) are pluses
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they lead to electrochemical failures under low and high voltage bias. The project will also include the development of secondary electrochemical models as digital twins. This PhD project is part of CreCon
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and management digital marketing digital business development sustainability digital and sustainable transformation organization. A significant part of our research involves collaboration with business
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Are you interested in catalysis, and can you contribute to the development of chemical technologies for thermoset plastic recycling? Then the Skrydstrup Group at the Interdisciplinary Nanoscience
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stream from the green biorefinery demoplant at AU Viborg. The project will focus on pulping of the press cake and development of textile filaments from the refined cellulose-fraction. Expected start date
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assessment to support our growing portfolio of research activities. You will carry out various project-related tasks including economic impact assessment, method development and application, and statistical
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for driving the democratisation of digital technologies, so that everyone has the opportunity to actively participate in the development, and we ensure a continued open, democratic, and inclusive society for
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in environmental assessment and marine management. In surveying and land use, sustainability is reflected in our efforts in nature restoration and climate adaptation. As society continues to develop
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, Department of Civil and Mechanical Engineering (DTU Construct). In this role, you will develop a deep learning–based image analysis framework designed for in-line monitoring of concrete and its constituent