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Università degli Studi di Roma Tor Vergata - Dipartimento di Ingegneria Elettronica | Italy | 2 months ago
Applicable 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 Research Infrastructure? No Offer Description The research
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regression, survival analysis, classification, and machine learning techniques. Familiarity with bioinformatics workflows, reproducible data analysis, and high-performance computing (HPC) environments
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) Established Researcher (R3) Application Deadline 9 Sep 2026 - 12:00 (UTC) Country Italy Type of Contract To be defined Job Status Not Applicable Is the job funded through the EU Research Framework Programme
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job funded through 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 The activity involves
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applications. Coupled fluid dynamics, heat transfer, mixing, chemical kinetics and turbulence-combustion interaction will be addressed to predict flame stability, performance, emissions and thermal loads Where
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Mediterranean basin, and Italy in particular, is among the regions most
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Dipartimento di Ingegneria dell'Informazione - Università degli studi di Padova | Italy | 3 months ago
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 Research Infrastructure? No Offer Description The activity
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Offer Starting Date 1 Dec 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number DA/26/26 Is the Job related to staff position within a Research
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through the EU Research Framework Programme? Not funded by a EU programme Reference Number DB/26/29 Is the Job related to staff position within a Research Infrastructure? No Offer Description
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, high-performance computing resources, and low-power edge infrastructures. Particular attention will be devoted to the scalability of solutions, the optimization of computational resource allocation, the