12 computer-programmer-"https:"-"INSA-toulouse"-"https:"-"https:" scholarships in Italy
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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 PhD School in Digital Heritage
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CallforApplications Within the PhD School at Bocconi University, the 4-year PhD program in Statistics and Computer Science is a high profile and rigorous doctoral program that provides students with
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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 Call for applications for one position in the PhD program of
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Italy Application Deadline 17 Jan 2026 - 23:59 (Europe/Paris) Type of Contract Temporary Job Status Full-time Offer Starting Date 1 Sep 2026 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 In order to promote
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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 Ph.D. is growing
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Information” and then “PhD Programme Table”). Where to apply Website https://studenti.unibo.it/ Requirements Additional Information Eligibility criteria Eligible destination country/ies for fellows: Italy
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CallforApplications Our Ph.D. in Social and Political Science is a modern and rigorous 4-year full-time program designed to prepare highly motivated candidates for careers in academia or research
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CallforApplications The PhD Program in Mathematics and Applications at Bocconi University is a newly established four-year program taught in English. It is a strategic initiative that builds
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CallforApplications The PhD program in Business Administration and Management at Bocconi University is seeking applicants with exceptional academic credentials and the drive to excel at scholarly