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techniques (e.g., HR-TEM, HR-STEM, 4D-STEM, iDPC, ptychography) and their application to challenging hybrid materials. Curiosity about how ML/AI-driven data science can accelerate discovery and innovation in
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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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to enhance efficiency, power density, and performance in applications such as high-performance computing (HPC) systems and artificial intelligence (AI) accelerators. Responsibilities and qualifications As a
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, and policy-makers, and help accelerate the transition from breakthrough science to real-world solutions. The precise objectives of the PhD position are to be determined in dialogue between the candidate
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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