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28 Mar 2026 Job Information Organisation/Company Politecnico di Milano Research Field Physics Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1) Established Researcher (R3) Application Deadline 27 Apr 2026 - 12:00 (UTC) Country Italy Type of...
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Researcher (R1) Positions PhD Positions Application Deadline 15 Apr 2026 - 00:00 (Europe/Rome) Country Italy Type of Contract Temporary Job Status Full-time Hours Per Week 36 Offer Starting Date 15 Sep 2026 Is
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://www.polimi.it/en/bandi-per-i-ricercatori Requirements Research FieldAgricultural sciences » OtherEducation LevelPhD or equivalent Specific Requirements Italian or foreign applicants, who have a PhD or equivalent
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of methods for reading and interpreting territory and through the development of interpretative tools applicable to architectural design. Archival research,surveying activities,the representation of the ground
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engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 26 Mar 2026 - 14:00 (Europe/Rome) Country Italy Type of Contract Temporary Job Status Full-time Hours Per
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integration with sales processes and commercial networks; - to map the technologies that form the technological architecture of B2B Digital Commerce, examining their roles and integration methods with corporate
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companies. Through a variety of approaches combining qualitative and quantitative methods, the research seeks to provide new empirical evidence and tools supporting the synchronization of logistics flows and
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of the B2C payments market and trends in Italy, with a focus on the most innovative methods; - analyze Italian consumers’ attitudes towards and use of digital payments; - produce a periodic news review
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components. On this basis, unsupervised learning methods will be applied to classify neighborhoods into urban types that describe the interactions between density, greenery, and habitat quality. Where to apply
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learning methods and statistical analysis, to effectively exploit data collected from sensors and acquisition systems. Particular attention is devoted to algorithm robustness, uncertainty management, and