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the application of machine learning to optics, touching upon aspects of computational electromagnetism and inverse design. Information about the project and division Structured optical materials, such as
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to nanofabrication, as well as state-of-the-art high-performance computing equipment. Main responsibilities The successful candidate will study and design devices for integrated optics using inverse design and machine
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Do you dream of organic and holistic ways of automating the design, motion optimization and control of legged robots? With this postdoc position, you have the opportunity to be a part of the ongoing
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of innovation, entrepreneurship, and strategic management. Generously funded by The Knut & Ragnvi Jacobsson Family Foundation, the position aims to advance research that fosters innovation capacity
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research with real-world applications. Research environment The Optical Networks (ON) Unit at the department of Electrical Engineering conducts world-leading research in areas such as: Network automation
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leading Swedish industry partners in 6G and cloud computing, gaining unique opportunities to bridge academic research with real-world applications. Research environment The Optical Networks (ON) Unit
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different mixing and reactive properties compared to conventional fuels. In this project, turbulent mixing and combustion of hydrogen in air will be studied through optical experiments and numerical modelling
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cavity-coupled quantum dots. The research is interdisciplinary, spanning quantum transport, quantum optics, and quantum thermodynamics, and is highly relevant for emerging quantum technologies. As a
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, design and characterization of quantum processors Development and optimization of nano-fabrication processes for large-scale devices Development of optimal control techniches to achieve fast and high
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amplifier performance. By combining advanced device measurements, empirical modeling, and power amplifier design, this project will generate new insights into the material, process, and design factors