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Field
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provide quality assurance for research and software development tasks Define the overall architecture of the VIOLET research prototype, focusing on its role as a methodological demonstrator and ensuring
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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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: 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