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at the University of Queensland. Work closely together with lab technicians who carry out analysis for characterization. Participate in the supervision of students and contribute to teaching activities at both
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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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of code to utilize GPU-acceleration on DTU’s high-performance computing cluster or other HPC systems. You will also analyze realistic physical implementations of the architectures you explore, with a
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. An external research stay of approximately 3 months in a collaborating institution is a mandatory part of this PhD fellowship position. You will work in close collaboration with experienced researchers and
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. The research should focus on low-power embedded systems, multimodal sensing (including wearable shoe-based platforms), and edge-cloud computing with serverless and federated learning techniques. You will work
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Job Description Are you passionate about renewable energy and eager to apply machine learning to real-world challenges? Join our research team at DTU and work on groundbreaking advancements in
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nanotechnology towards entering so far uncharted experimental regimes. Responsibilities and qualifications The candidates will work closely together with each other and the rest of the Photonic Nanotechnology
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-situ spectroscopic and microscopic methods, including XRD, Raman spectroscopy, TEM, and XPS. Evaluating catalytic performance for various electrochemical reactions, such as the oxygen reduction reaction
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from related projects at DTU-Bioengineering (https://biocat.ncsu.edu/) and researchers from the private sector. Overall, you will become part of a high-energy, supportive, and inclusive work environment
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create value using science and engineering to benefit society. That mission lives on today. DTU has 13,500 students and 6,000 employees. We work in an international atmosphere and have an inclusive