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. The research will bridge both established and emerging technical expertise within the section, encompassing areas such as FPGA and neuromorphic computing, Edge AI, machine learning, power electronics, and self
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software solutions together with end users such as Universal Robots, Terma, LEGO, Danfoss, and Novo Nordisk. The Postdoc position aims to focus on securing automotive systems with a focus on battery
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Monitoring (LTVEM) in the hospital for management and diagnosis of epilepsy. The technology is built on brain computer interfaces equipped with a Spiking Neural Network (SNN) and aims at early detection
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, SDU Centre for Industrial Electronics and SDU Centre for Industrial Mechanics. The Postdoc candidate will investigate methods and tools for real-time embedded systems and functional safety concepts in
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highly motivated candidate who meets the following qualifications and characteristics: PhD (completed or soon to complete) in Software Engineering, Computer Science, Artificial Intelligence, or a closely
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contribute to the teaching activities of the section of Mechanical Engineering by teaching 1-2 courses per semester. You will focus on developing and extending in-house computational codes based on open-source
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Robotics and CAPeX. Conducting scientific research and publishing the results in high quality scientific conferences/journals. Supporting the team in securing external funding. Participation in ongoing and