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Research Studentships (for students of a Master or Integrated Master students) - (BL208/2025-IST-ID)
Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 3 months ago) Develop reports and technical documents aligned with the project objectives; vi) Collaborate with project partners in joint activities to achieve the established goals; vii) Actively participate in
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regulation, evaluating and providing feedback to participants and entities involved in the various project initiatives, monitoring the research project at the University of Coimbra, and the multiple
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, graduates and external entities); .Drawing up scientific studies in communication and marketing for promoting entrepreneurship in higher education. Assessment and ranking criteria: 6.1 Degree of alignment
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, including, but not limited to, participation in conferences or workshops. Benefits The scholarship provides a one-off payment of $1000. Amount: Up to $1,000 Duration: One-off Quantity: Multiple Eligibility
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for reference selection and structured extraction; ii) implementation of a new catalog aligned with taxonomies and methods; c) Maintain relevance: update the data model, include emerging pathogens, new food
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Exercise Science (Research) (M1275) in 2025. Provider: Murdoch University No. of Scholarships: Multiple Duration of Award: Duration of degree Level of study: Postgraduate Semester Availability: Trimester 3
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-locking and the potential of multimode fiber laser technology, aiming to discover novel regimes of multiple spatiotemporal dissipative solitons and soliton molecules. Where to apply E-mail rekrutacja
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corrosion simulations; Adjustment of simulations for various scenarios, including multiple towers and laboratory models; Analysis of virtual acceleration signals; Processing using artificial intelligence
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digital content in multiple languages related to the activities of the INOV-NORTE project, contributing to its dissemination; 3) Collaboration in the organization, facilitation, and certification of events
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datasets based on the empirical data, followed by bioinformatic and statistical analyses of the multiple datasets using various methods for assessing genetic diversity, population clustering, and ancestral