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requirement to be duly proven at the time of signing the contract. Note: In the case of masters who are enrolled in non-academic degree courses, the scholarship can only be awarded to those who do not exceed
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or cooperation between the higher education institution and one or more R&D units. I.III - Ineligible candidates: Candidates enrolled in non-degree-granting courses who have already benefited from a grant contract
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of digital transformation strategies, and support decision-making through analysis, reporting, and stakeholder engagement. The position may also involve the management of financial and contractual resources
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or cooperation between the higher education institution and one or more R&D units. I.III - Ineligible candidates: Candidates enrolled in non-degree-granting courses who have already benefited from a grant
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have already benefited from a grant contract and who, with this grant assignment, including possible renewals, exceed a total accumulated period of two consecutive or non-consecutive years in this type
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Portugal 2030 COMPETE2030-FEDER-00914800 3. Admission Requirements: 3.1.4. Masters enrolled in courses that do not confer academic degree integrated in the educational project of a higher education
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Instituto de Geografia e Ordenamento do Território da Universidade de Lisboa | Portugal | about 2 months ago
results will be communicated to applicants by notification sent to the email address provided for this purpose. Should the decision be unfavourable to the award of the grant, applicants will have 10 working
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 3 months ago
8 Jul 2026 Job Information Organisation/Company Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID Department DRH Research Field Engineering » Electrical
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or cooperation between the higher education institution and one or more R&D units. I.III - Ineligible candidates: Candidates enrolled in non-degree-granting courses who have already benefited from a grant
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project aims to integrate dynamic systems simulation and generative AI to create a tactical-strategic decision-support system for the sustainable management of last-mile logistics operations, taking