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professor, one assistant professor, one postdoc, and a large number of PhD students. The project includes strong partnerships with the University of Leipzig (Bioinformatics, Prof. Peter Stadler
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student to work on the development of new theoretical frameworks for describing light–matter interactions in advanced nanostructures probed by polaritons generated through inelastic electron tunneling
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Neural Networks (SSM-SNNs). The project includes the co-design and integration of a RISC-V processor for hybrid neuromorphic computing. The research aims to develop ultra-low-power computing chips
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needed to achieve these temperatures, the control cables connecting to the qubits are often more than 2 meters long. At the same time, a quantum computer powerful enough to solve problems beyond the reach
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Applicants should hold a relevant MSc degree in electronics, electrical engineering, computer engineering, or related fields. Required Qualification: Solid background in digital CMOS design and deep learning
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the university. Applications should be sent electronically via the link "Apply now". The faculty expects applicants to read the information "How to apply for a position at SDU " before applying. Please note that
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technologies to address challenges in power electronics, including renewable energy, electric vehicles, and industrial applications. The candidate will prioritize industry requirements in designing these devices
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applications Strong analytical and problem-solving skills Good communication skills and ability to collaborate across disciplines Motivation to make a real-world impact in sustainable energy and industrial
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-motivation to learn. Be able to work well and communicate expert knowledge in an interdisciplinary team. Have the ability of working independently. Have a strong sense of responsibility. Research environment
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(peressotti@sdu.dk ). Please send out any inquiries to the abovementioned email addresses. Candidate profile We are looking for highly motivated candidates interested in the foundations and the principles