30 engineering-computation-"https:"-"https:"-"https:"-"https:"-"LGEF" research jobs in Italy
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- Università Telematica Pegaso
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23 Jan 2026 Job Information Organisation/Company AI4I Research Field Engineering » Computer engineering Computer science Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Research on Post-quantum signatures for blockchain technology from
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24 Jan 2026 Job Information Organisation/Company LUM Giuseppe Degennaro Department INGEGNERIA Research Field Engineering Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First
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Application Deadline 9 Feb 2026 - 13:00 (Europe/Rome) Country Italy Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? European Union / Next
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multi-disciplinary group. The team is composed by material scientists, nanotechnologists, physicists, chemists, neuroscientists, electronic engineers, computational scientists, biotechnologist and
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or equivalent Specific Requirements The ideal candidate must have the following requirements: Phd in Computer Science, Software Engineering, or related fields or equivalent experience; Strong understanding
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of 30/12/2010 and Article 14, paragraph 6 septiesdecies of Decree Law 36/2022, with a six-year, non-renewable contract at the Department of Engineering. Where to apply Website https://pica.cineca.it/unipa
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5 Dec 2025 Job Information Organisation/Company Università di Bologna Research Field Engineering » Electronic engineering Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First
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Jan 2026 - 00:00 (UTC) Type of Contract Other Job Status Other Is the job funded through the EU Research Framework Programme? Horizon Europe Is the Job related to staff position within a Research
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bring Essential PhD Degree in a relevant scientific field (e.g. computer science, data science, mathematics, engineering, or related); Strong understanding of generative models (e.g., VAEs, GANs