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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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Job Description Are you up for the challenge of joining a highly ambitious research group involved in a joint project with international academic and industrial partners towards developing scalable
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Job Description If you are ready to launch your research career in advanced manufacturing and want to build cutting-edge skills in AI and real-time data-driven production, this PhD opportunity is
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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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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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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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of the research project “Security and Humanitarian Law”, funded by Aarhus BSS, Aarhus University. The research project on Security and Humanitarian Law The research project examines the various hybrid
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lab, you will lead a research project focused on dissecting how the various cellular tasks of MYC are orchestrated in individual cells. You will integrate loss- and gain-of-function tools (e.g., CRISPR