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and cutting-edge research. Job Description We are seeking a postdoctoral researcher specializing in digital twins to develop innovative solutions for monitoring, analyzing, and optimizing urban systems
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computing and machine learning. The research will emphasize both theoretical advancements and practical implementations optimized for modern HPC systems. The postdoc will primarily contribute to one or more
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optimized to maximize/minimize one or more of the abovementioned metrics under certain constraints. However, very little work has been performed on system/network optimization while considering
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. The group will be contributing to the Physics Modeling (MC software, MC validation and Pileup modeling), the MET High-Level Trigger validation, optimization and performance studies, and to the heterogeneous
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valuable insights to help optimize device performance. Additionally, you will support collaborators by assisting with in-situ TEM measurements, facilitating cutting-edge research in sustainability and energy
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without boundaries. Position Description Research Assistant will conduct research focusing on the following tasks: Creating and optimizing computational platform for the design of nanophotonic structures
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- Solid knowledge of existing literature in optimization and/or symbolic computation - Strong skills in programming with scientific and/or symbolic computing tools Website for additional job details https
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models to estimate, validate, and optimize the energy consumption of SQL queries for both research and industry use. The project involves partners including Aalborg University (AAU), Roskilde University
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-support tools for decarbonizing mobile mining equipment. You will join an international multidisciplinary team. You will apply simulation, multi-objective optimization, and data-driven analytics to evaluate
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Department (DRIS), you will participate in research activities on the optimization of non-Newtonian fluid injection for the decontamination of polluted soils. Tests will be conducted, in 1D columns, in 2D