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the Section for Aquaculture, located at our campus in Hirtshals in the beautiful Northern part of Denmark. The section is a vibrant international group that holds a strong expertise in the different aspects
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employees of which around 200 research different aspects of photonics. Research is performed within nanophotonics, photonic nanotechnology, lasers, quantum photonics, optical sensors, LEDs, photovoltaics
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performing local neural pattern recognition and decoding. A low-power transceiver, which will transmit only the decoded high-level control commands instead of the raw data, dramatically reducing bandwidth and
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and evaluate sustainable food packaging solutions that integrate material innovation, production systems, and microbiological safety for high-impact societal and scientific outcomes. Responsibilities
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undermine this future. Can you see how Machine Learning, Computer Vision, and Robotics can open up opportunities for autonomously operating agricultural robots? Are you passionate about making agriculture
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research environment. Project background Future European power systems are expected to be driven by a very high share of renewable power plants and will be extremely complex, uncertain environments with
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of conventional fossil fuels. Solid oxide electrolysis cell (SOEC) is one of several different electrolysis technologies, which holds merit in terms of high efficiency and potential to reach low cost. For SOEC
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for SSM-SNN cores Integrate RISC-V processors using SoC flows Perform full-chip simulation, verification, and prototyping Publish and present research in high-impact venues Qualifications Applicants should
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on conventional computing platforms such as GPUs, CPUs and TPUs. As language models become essential tools in society, there is a critical need to optimize their inference for edge and embedded systems
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computers, one of the major milestones is the development of high-quality quantum bits (qubits), the core units of quantum computation. Unlike classical bits, solid-state qubits must operate at extremely low