AISHA – Data-driven methods for mapping and evaluating the impact of Generative Artificial Intelligence (Italia)

AISHA – Data-driven methods for mapping and evaluating the impact of Generative Artificial Intelligence (Italia)

15 nov
|
Italian Ministry of Education, University and Research
|
Italia

15 nov

Italian Ministry of Education, University and Research

Italia

Organisation/Company Dipartimento di Informatica Sapienza Università di Roma Research Field Computer science » Informatics Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1) Established Researcher (R3) Application Deadline 10 Dec 2026 - 23:59 (UTC) Country Italy Type of Contract To be defined Job Status Not 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? xlwpduy No

Prima di candidarsi per questo ruolo, la preghiamo di leggere le seguenti informazioni su questa possibilità, riportate di seguito.
Offer Description

Development of methods, metrics and analytical pipelines for mapping GenAI ecosystems and evaluating their impact on society.

- Ivory Coast
- Jamaica
- Japan

Eligibility of fellows: country/ies of residence:

- EUROPE

Eligibility of fellows: nationality/ies:

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📌 AISHA – Data-driven methods for mapping and evaluating the impact of Generative Artificial Intelligence (Italia)
🏢 Italian Ministry of Education, University and Research
📍 Italia

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