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Field
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research support personnel in the OppArch Lab, led by Vincenzo Mancuso and Marco Ajmone Marsan.The members of the OppArch Lab focus on solutions for extremely high-performing opportunistic architectures
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of Mechanical Engineering] This project aims to devise innovative monitoring technology for high-tech systems to perform (semi) autonomous fault isolation, and predictive monitoring. For high-tech equipment
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, are essential. Due to the interdisciplinary framework and close collaboration between wet-lab and computational scientists, good communicative skills in English are essential. German language skills are not
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posting is subject to approval of the associated third-party funded project. Your tasks You will help modelling complex geochemical systems, which are typically limited by extremely high computational
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critical, to ensure expected engine performance is achieved. To predict this complex flow and heat transfer, next-generation Computational Fluid Dynamics (CFD) solvers using Large-Eddy Simulation (LES) and
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Is the job funded through the EU Research Framework Programme? NextGenerationEU Reference Number CNS2023-144890 Is the Job related to staff position within a Research Infrastructure? No Offer
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high-throughput imaging with integrated cathodoluminescence (CL) detection enabling large-area imaging of biological samples. This four-year research programme will proceed in three main phases. In
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to ensuring safe, reliable, and high-performance communications. The development of 6G based AI networks with integrated TN and NTN infrastructures provides new opportunities for UAV tracking
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technology experts work together to build a framework on open-source code (Python) that is high-performing and scalable to comprehensively quantify uncertainties using probability theory. This is where you
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limits of QEC. Although specific research topics will be defined in collaboration with the selected candidate, potential directions include investigating the efficient, low-complexity, and high-performance