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that enable energy-intensive industries to plan and optimize their production based on energy demand, power consumption, and sustainability. The current PhD position focuses on analyzing how digitalization and
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. Applications are within 6G mobile access, distributed intelligence and computing, and drone swarms. As postdoc, you will principally carry out research. A certain amount of teaching may be part of your duties
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approach that integrates wireless communication, computer vision, and machine learning to optimize PC transmission from sensors to an edge server for remote registration. The research is funded by Wallenberg
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. Applications are within 6G mobile access, distributed intelligence and computing, and drone swarms. As a PhD student, you devote most of your time to doctoral studies and the research projects of which you are
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Professor in Theoretical Computer Science at LiU. The research for the advertised position will be within the WASP PhD project ”Model-Based Attention for Scalable AI Planning ”, where we will integrate
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of full-time. Your qualifications You have graduated at the Master’s level in Molecular Biology, Computational Biology, Immunology, or a related field, or completed courses with a minimum of 240 credits
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on: analytical chemistry methods for organic matter characterization and pollutants measurements are highly merited. designing and performing laboratory studies are highly merited operating and monitoring
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NAISS, the National Academic Infrastructure for Supercomputing in Sweden, provides academic users with high-performance computing resources, storage capacity, and data services. NAISS is hosted by
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machine learning, to accelerate material development, optimize device design, and enable data-driven predictions of material behavior. Organic electronics and device modeling: Model properties and
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healthcare with the goal of fostering innovation. The position At AIDA Data Hub, we build and operate services to facilitate research that aims to save lives and ease pain. We strive to provide easy-to-use