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of code to utilize GPU-acceleration on DTU’s high-performance computing cluster or other HPC systems. You will also analyze realistic physical implementations of the architectures you explore, with a
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concepts for characterizing structures, mainly focusing on state-of-the-art EM. The interdisciplinary efforts aim at developing fundamental understandings of process-structure-property relationships. Your
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passionate, curious, and driven individual, committed to accelerating the green transition by advancing autonomous solutions for wind power operations. You thrive on solving complex problems, ask bold and
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methodologies for accelerating the green transition by activating the demand-side flexibility. In addition, you will become part of a European network of 15 PhD students and their supervisors funded under
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industrial partner. The AMD section is a leading group in combining multiscale modelling techniques, machine learning methods, and self-driving laboratories to accelerate the discovery of novel materials