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- Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID
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Technologies; Develop a conceptual model for network analysis; Evaluate the reliability, capacity, and quality of the records and reports of the transport network in Guimarães, Amarante, and Lamego; Evaluate
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Architecture Design Thesis. Benefits The scholarship amount awarded will be based on the proposed budget submitted in each application. The total scholarship amount cannot exceed the net annual income
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“Nanochemothermal Stent for Enhanced Glioblastoma Treatment” . The call is governed by this Notice of Opening, the University of Coimbra Research Grant Regulations (RBI-UC), subsidiarily by the Research Grant
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understanding of a new culture, work in a new academic environment and build a global network. For information about eligibility and selection criteria and application open and closing dates, see: Association
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management and publication platforms; e) Basic understanding of network analysis; f) Knowledge of Angolan history. Additional Information Benefits Applicable legislation and regulations: Law no. 40/2004, of 18
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Forests and neural networks. b) Basic programming experience in Python and familiarity with libraries such as pandas, numpy or scikit-learn. c) Experience in processing and analysing data from electronic
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this Notice of Opening, the University of Coimbra Research Grant Regulations (RBI-UC), subsidiarily by the Research Grant Regulations of the Foundation for Science and Technology (RBI-FCT), by the Research
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current economic system and way of life? The German Federal Ministry of Education and Research (BMBF) sponsors the Digital GreenTalents – High Potentials in Sustainable Development Award to find solutions
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, revised and republished by Notice no. 412/2026/2, published at Diário da República, second serie, no. 4 of January 7. Regulation of Research Grants of P.PORTO (P.PORTO/P-001/2020), approved by Order P.PORTO
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 3 months ago
, reference no. 2023.18249.ICDT, financed by national funds through FCT/MCTES (PIDDAC Workplan: Development of methodologies and machine learning algorithms for the detection of anomalous behaviors in flow rate