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limited. We are offering a PhD scholarship for a student to develop ambitious new machine learning strategies for generating AI-ready data. You will work at the frontier of active learning and ML-guided
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will be working in the Quantum and Laser Photonics Group at DTU Electro , which belongs to the Quantum and Nanophotonics Section . The research in our section focuses on leveraging fundamental light
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to mechanical forces. We work with leading international groups on modeling and also conduct simulations at DTU. Our overarching goal is to understand and predict the mechanical behavior of metals during plastic
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of research results in scientific journals and conferences. Qualifications: Good understanding of solid mechanics and preferably modeling of damage and/or fracture. Experience with experimental work and data
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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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the Center for Cancer Immunotherapy (CCIT) at Herlev Hospital, Copenhagen. You will join a dynamic and international team that utilizes in vivo mouse work and human clinical samples to understand
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, transcript and protein quantification at the single cell level Collaborate with interdisciplinary teams of researchers and industry partners Publish research findings in high-impact scientific journals and
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. This project addresses that challenge through chip-level implementations of SSM architectures in advanced CMOS nodes, targeting latency- and energy-constrained environments. Research area and project description
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optimal strategies for cyber-physical systems”). The Department of Computer Science features a broad range of synergistic activities within research and education in the general area of computer science
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joining the division of Geodesy and Earth Observations, which is one of the six divisions at DTU Space. You will work in close collaboration with colleagues at both DTU and with academic partners