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-matter interactions for applications in sensing, optical communications, and quantum technologies. The scientific environment at our department is vibrant and highly collaborative with world-class
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proficient in ROS/ROS2, Python and/or C++/C# Knowledge and/or experience within one or more of the fields of acoustic sensing, hydrodynamics, and machine learning is a plus. You have strong communication
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demonstrating machine polishing processes of complex mould surfaces using compliant polishing tools by implementation of sensing solutions enabling process, tool and surface condition monitoring. The goal is to
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information For further information about the position, the Morality of Extreme Wealth project, and the SDU Philosophy Section, feel free to contact Associate Professor, Lasse Nielsen (lasseni@sdu.dk
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thus including sensing systems, tool condition features selection, algorithms for automated signal preprocessing, feature extraction and decision making based on ML and AI. An integral part of
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demonstrating machine polishing processes of complex mould surfaces using compliant polishing tools by implementation of sensing solutions enabling process, tool and surface condition monitoring. The goal is to
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thus including sensing systems, tool condition features selection, algorithms for automated signal preprocessing, feature extraction and decision making based on ML and AI. An integral part of
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spin. The experimental platform, based on an ultracoherent phononic membrane resonator and an NV-center in diamond, serves as a testbed of protocols for spin-mechanical quantum sensing and transduction
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part of the Drug Delivery and Sensing (IDUN) section at DTU Department of Health Technology. Furthermore, the PhD project is in close collaboration with the adjuvant research team at The Department
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efforts in materials physics and design, quantum optics, sensing and communication, biophysics, plasma physics, and continuum physics. Our research impacts society with new sustainable energy technologies