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performed within optical sensors, lasers, LEDs, photovoltaics, ultra-high-speed optical transmission systems, bio-photonics, nano-optics, and quantum photonics. Technology for people DTU develops technology
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the development and testing of advanced control strategies for building energy systems. The work is closely connected to a real-world pilot case, where measured sensor data will be used for model calibration
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related devices - critical components in applications such as soft robotics, sensors, or rubber-based batteries. This role offers an excellent opportunity to contribute to cutting-edge research in a highly
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motivated to move the area of enzyme engineering to the next level, while having a positive impact on our world. When joining our team, you get the opportunity to use the latest algorithms in machine learning
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is to develop machine-learning-based algorithms for transmitter pre-distortion and receiver post-distortion architectures that enable distortion-free quantum communication systems. A key focus will be
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Job Description Are you interested in quantum computing? Do you have a keen interest in developing your skills in developing algorithms and software and build the quantum computing infrastructure in
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. You will support field behavioral experiments to test designs of tradable credits schemes in specific urban contexts. You will explore and implement machine-learning algorithms and classical dynamic
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motivated to move the area of enzyme engineering to the next level, while having a positive impact on our world. When joining our group, you get the opportunity to use the latest algorithms in machine
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will have the opportunity to engage in pioneering research, collaborate with a large, dynamic and multidisciplinary team, and advance the field of quantum computing through innovative algorithms and
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approaches, such as topology optimization, with gradient-free methods, such as genetic algorithm, in order to exploit the specific strengths of the two classes of algorithms, and through this reach an ideal