-
Scholarship Opportunity This is an opportunity to undertake a fully funded masters’ degree and an interdisciplinary PhD under the ‘Sustainable Transitions – Leverhulme Doctoral Training Programme
-
Scholarship Opportunity This is an opportunity to undertake a fully funded masters’ degree and an interdisciplinary PhD under the ‘Sustainable Transitions – Leverhulme Doctoral Training Programme
-
Scholarship Opportunity This is an opportunity to undertake a fully funded masters’ degree and an interdisciplinary PhD under the ‘Sustainable Transitions – Leverhulme Doctoral Training Programme
-
Scholarship Opportunity This is an opportunity to undertake a fully funded masters’ degree and an interdisciplinary PhD under the ‘Sustainable Transitions – Leverhulme Doctoral Training Programme
-
Framework Programme? Not funded by a EU programme Reference Number 61140-2026-002016 Is the Job related to staff position within a Research Infrastructure? No Offer Description The world is changing
-
) for Enrollment Management, the incumbent is the primary fundraiser for the Division and will develop and execute the fundraising program to fulfill the financial needs as identified by the ExD and VP. Additionally
-
Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 3 months ago
Applicable Offer Starting Date 9 Jul 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number LISBOA2030-FEDER-00854700 Is the Job related to staff
-
students and PhD candidates pursuing studies in Artificial Intelligence and related subjects Number of Scholarships 15 Duration standard duration of the Master's programme or 3 years for the PhD programme
-
30 Jul 2026 Job Information Organisation/Company NOVA Information Management School (NOVA IMS) Department Recursos Humanos Research Field Computer science » Other Researcher Profile First Stage
-
of SECAI. This includes but is not limited to studies in the following programmes: MSc Computer Science (TUD) MSc Computational Modeling and Simulation (TUD) in the tracks "Applied Artificial Intelligence