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intelligence. This PhD project will leverage the power of field-programmable gate arrays (FPGA) to deploy machine learning models on the edge with low latency and high energy efficiency. This added intelligence
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conditions. Environmental effects on electronics are an important area today due to the widespread use of electronics such as electrification of vehicles and use in connection with renewable energy systems
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capacity, regeneration energy, degradation resistance, and environmental profile. These will be validated in the lab and demonstrated at pilot scale at Ørsted’s facility, Skærbækværket. We seek a highly
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are an important area today due to the widespread use of electronics such as electrification of vehicles and use in connection with renewable energy systems, therefore the PhD position provides opportunity to work
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conditions at realistic, field-relevant scales. Developing a practical correction model to account for energy dissipation by flexible (vs. rigid) vegetation Original research on wave-induced forces and