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seeking a highly motivated PhD student to join our team to work on the design and implementation of Oscillatory Neural Networks (ONNs) for physics-based computing applications. You as the candidate will be
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Interested in working on a the future of optical inertial sensing for mechatronic vibration control? Join our team! Job description The CHiPS (Compact High-Precision Sensors) project aims
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networks could change the way we communicate, run apps in the cloud, and help scientific tools and sensors. To build such quantum networks, nodes based on solid-state emitters are promising contenders. One
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sensors. To build such quantum networks, nodes based on solid-state emitters are promising contenders. One specific type of solid-state emitters, rare-earth ions (REIs) in host crystals, are particularly
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, consumer electronics and healthcare. Our research spans from measuring and manipulating materials at the micro and nano scale, to the design of world-class sensors and actuators. You will be working in
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PhD candidates, postdocs, and faculty members. Our group focuses on understanding and mitigating corrosion processes, and on the development of electrocatalysts and electrochemical sensors through
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research spans from measuring and manipulating materials at the micro and nano scale, to the design of world-class sensors and actuators. You will be working in an international environment in one
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mitigating corrosion processes, and on the development of electrocatalysts and electrochemical sensors through the synthesis of materials and the use of advanced electrochemical methods and surface analysis
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to work on the design and implementation of Oscillatory Neural Networks (ONNs) for physics-based computing applications. You as the candidate will be an integral part of the prestigious NWO AiNED AI-on-ONN
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point-of-care spectroscopic sensor to determine the impact of the cell therapy during orgran perfusion. This includes generating experimental data sets with a commercially available spectrometer