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level equivalent to a two-year master's degree. The ideal candidate will have a background in photonics and condensed-matter physics. You should have a passion for theoretical and computational physics, a
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recent large-scale capabilities in physics. Reliability, exploring uncertainty quantification and robust inference in machine learning. Explainability, leveraging identifiability and unique recovery
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strong guidance from academic supervisors as well as from industrial experts. Responsibilities and qualifications Polishing is one of the last steps of the manufacturing process chain for industrial tools
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the project will be the development of physics enhanced data driven methods to achieve reliable prediction of residual usable life of milling tools. The approach will be validated by application to industrial
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and physical synthesis techniques, along with advanced structural characterization tools, will be employed to achieve this goal. Your primary responsibilities will include: Synthesizing electrocatalysts
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strong guidance from academic supervisors as well as from industrial experts. Responsibilities and qualifications Polishing is one of the last steps of the manufacturing process chain for industrial tools
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function, with expected physical presence at Danske Bank’s headquarters as well as CBS’ premises in central Copenhagen (physical presence during office hours is a requirement). Qualifications to conduct
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machine learning for safe and optimal control of cyber-physical systems. The projects are expected to be funded by the VILLUM INVESTIGATOR project S4OS (“Scalable analysis and synthesis of safe, secure and
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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