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                21 Sep 2025 Job Information Organisation/Company University of Trento Research Field Computer science » Computer architecture Researcher Profile Recognised Researcher (R2) Country Italy Application 
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                applications, (2) design and architecture of integrated, hybrid, atomistic simulation software packages (e.g., LAMMPS) and DL models, and (3) documentation, verification and validation, and software quality 
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                environments (e.g., Mininet, NS-3), MANO platforms (e.g. OSM) Solid understanding of 5G/6G network architectures and technologies is considered a strong asset Proven software engineering and coding skills (e.g 
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                . The Postdoctoral position in Software Engineering will focus on Microservices Architecture and Cloud-Native Systems, offering an exciting opportunity for a dedicated researcher to contribute to cutting 
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                software development. General responsibilities: Help supervising related MSc and PhD projects Contribute to project related teaching activities Collaborate with the Earthmapps research team and participate 
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                orchestration software to integrate classical and quantum networks. The candidate is also expected to support PhD candidates in their research activities. The candidate will work closely with Professor Symeon 
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                -spatial data and requirements of the software tools to be used and integrated in the resulting “FlexPEDs” software platform to be developed within the project. Extension/update of the CityGML new Energy 
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                the computer science research conferences. Qualifications: PhD in computer science with file systems, GPU architecture experience. Proven ability to articulate research work and findings in peer-reviewed proceedings 
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                of Concept Grant “Implementation of Super-resolution Ultrasound Real-time microvascular imaging using Erythrocytes” - iSURE. The iSURE project will develop the hardware and software architecture for a novel 
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                : Design, implementation and testing of new methods and algorithms so that SIESTA can harness the compute power of the latest generation of (pre-)exascale architectures and tackle novel scientific challenges