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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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include work on the project database and catalogues, producing a monograph, co- and single-authored articles and contributions, organizing conferences, workshops and guest lectures, undertaking research
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project supported by the Challenge Programme of the Novo Nordisk Foundation: “Mathematical Modelling for Microbial Community Induced Metabolic Diseases”, led by Prof. Daniel Merkle. The expected starting
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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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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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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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activities within the areas of embedded software. The position requires a PhD degree within a relevant area (e.g. software, computer, or control engineering) and the desired candidate is expected to have
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research areas. Profile and requirements You have a PhD degree in Software Engineering, Computer Science, Cybersecurity, or a related field. You have experience in publishing research in high-impact
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quality in all our activities – and we can only do that with the right people. The University’s researchers, lecturers, students, managers and technical/administrative staff are the foundation of our