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and Management within R&D Projects, by the Code of Administrative Procedure (CPA), all in their current wording, and by other applicable national and community legislation. Procedure Reference: IT137-26
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for the award of one Research Grant within the scope of the project “OUROMOVE - Ubiquitous and Robust Optimization for Fleet Operations and Rostering”, with nr. 17403 and operation code at the Funds
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Research Grant within the scope of the project “OUROMOVE - Ubiquitous and Robust Optimization for Fleet Operations and Rostering”, with nr. 17403 and operation code at the Funds Platform (Balcão dos Fundos
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Decree-Law no. 123/2019, of August 28, and also the provisions of article 9 of the Scientific Research Grant Regulations of the University of Aveiro are eligible. 6. Work plan:The work aims to support the
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Facilitates engaging, interactive professional development using effective adult learning strategies. Creates an inclusive learning environment that encourages participation and skill development. Manages
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scholarship in a library setting across a broad range of disciplines including the arts, humanities, engineering, management, and sciences by delivering tailored instructional sessions and workshops
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Gorlitz, Sachsen | Germany | 2 months ago
area # Good knowledge of electronic structure methods for crystals and 2D materials # Experience with parallel computing paradigms # Good knowledge of numerical methods # Experience with high-performance
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Instituto de Geografia e Ordenamento do Território da Universidade de Lisboa | Portugal | about 2 months ago
The RASTOOL-DoS project aims to address critical gaps in Disaster Risk Reduction and Management (DRRM) through the development of a prototype Ground Motion (GM) analysis service integrated into the Copernicus
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Organizational Unit: Policy, Strategy and Performance Classification: RCO Tenure: Continuing Language Requirements: Bilingual Imperative BBB/BBB Work arrangements: Due to the nature of the work and operational
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benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: - Develop decision-support models for planning, scheduling, and supply chain management using advanced Operations Research, optimization