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-Performance Computing for Exascale" contributes to the design and development of numerical methods and software components that will equip future European Exascale and post-Exascale machines. This program is
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on performance and safety, for example, through the efficient computation of Lyapunov and barrier functions, forward and backward reachable sets, optimal value functions etc. The broad goal is to build upon recent
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Research Assistant/Associate in Photonics Integration of Graphene and Related Materials (Fixed Term)
investigate the large area production of graphene, BN, MoS2 and other layered materials, optimize their transfer process in view of their application in energy, electronics and photonics. This will include
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work and leisure. Read more on the university's website about being employed at Lund University, Work with us . Work duties and responsibilities The primary task is to contribute to various research
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they support running optimally under any given circumstances. Artificial intelligence in networking, i.e., applications of AI to improve network performance, maintainability, security, automated repair and other
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the department’s expertise in plasma heating. Key responsibilities include: Leading the design, operation, and optimization of heating systems, including electron cyclotron (gyrotron-based), ion cyclotron, and lower
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the development of components using agent-based modeling techniques, reinforcement learning, and other explainable artificial intelligence modules for decision-making, situation assessment, and operational support
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Researcher, you will play a key role in developing next-generation quantum sensors based on photonic technologies, with applications spanning high-tech industries, space, and defense. Your work will focus
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expertise in wireless communications, communication theory, information theory, applied probability, and optimization • Excellent written and verbal communication skills Preferred Qualifications • Prior
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to the development of deep learning methods to predict reaction outcomes and optimal reaction conditions for organic reactions. The work will involve model development using Python and/or other programming languages