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for the calculation of the importance of systems, structures, and components—and, more generally, of parameters or variables—in the modeling of complex technological assets, by leveraging modern computer simulations
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) Established Researcher (R3) Country Italy Application Deadline 3 Feb 2026 - 12:00 (UTC) Type of Contract To be defined Job Status Not Applicable Is the job funded through the EU Research Framework Programme
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3 Dec 2025 Job Information Organisation/Company Università degli Studi di Genova Research Field Computer science Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage
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11 Nov 2025 Job Information Organisation/Company Dipartimento di Informatica Research Field Computer science » Informatics Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First
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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 MPL is a physical collection of plant species characterized using
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) Established Researcher (R3) Country Italy Application Deadline 30 Dec 2025 - 12:00 (UTC) Type of Contract To be defined Job Status Not Applicable Is the job funded through the EU Research Framework Programme
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2026 - 00:00 (UTC) Type of Contract Other Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a
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the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD students in the PhD Programme in Cultures
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) Established Researcher (R3) Country Italy Application Deadline 17 Dec 2025 - 23:59 (UTC) Type of Contract To be defined Job Status Not Applicable Is the job funded through the EU Research Framework Programme
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transdisciplinary nature of the programme, conceived as a place of convergence for knowledge and practices in constant negotiation. The PhD develops a thematic and methodological framework based on a complex network