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for modeling unprecedented electromagnetic phenomena, using languages such as C++ and Python. Formulate new theories pertaining to EUV generation, obtained ab initio from Maxwell’s equations and quantum
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specific responsibilities in the project: i. Develop, train, and optimise deep learning models for object detection, classification, and segmentation using real-world datasets. ii. Design and implement
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civil engineering and will focus on nondestructive evaluation, wave field modeling, and AI for the smart maintenance of civil infrastructure systems. The position is also aimed to assist the development
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We are looking for a researcher, whose expertise lies in wave simulations, to work with Prof Gregor Tanner and Dr Martin Richter on an EPSRC-funded project entitled “xDEA - Vibro-acoustic energy
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experience at the time of application; and (b) be familiar with theory of condensed matter, DFT, EPW, tight binding methods, ab initio modeling of electron-phonon mediated superconductivity and the
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important part of the mission of SecurEL. The PhD candidates funded by the Centre will contribute with cutting-edge knowledge and research. Overall, the Centre will directly finance 17 PhD and postdoc
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in collaboration with colleagues and their students/postdoc at the Ohio State University (Dr. Jill Leonard-Pingel), the University of California Berkeley (Dr. Seth Finnegan), and the Smithsonian
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Integreat develop theories, methods, models, and algorithms that integrate general and domain-specific knowledge with data. By combining the mathematical and computational cultures, and the methodologies
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at Integreat - Norwegian Centre for Knowledge-driven Machine Learning is a Centre of Excellence, funded by the Research Council of Norway. Researchers at Integreat develop theories, methods, models, and
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simulation models (e.g., using MATLAB) to analyze complex nonlinear optical phenomena. Collaborate with interdisciplinary teams to explore practical applications of ultrafast laser systems. Prepare high