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- UNIVERSIDADE DE ÉVORA
- Universidade Católica Portuguesa - Porto
- Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID
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replaced by a declaration of honor. Preferential factors: ● Previous experience with the P4 language and Named-Data Networking architecture. ● Ability to program in Python. ● Good knowledge of network
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? No Offer Description Applications are open for 3 Research Studentship, within the Recovery and Resilience Plan (RRP) project “Alliance for the Energy Transition Workplan: Industrial electrical networks
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of research grants, the following activities will be carried out: Identification of potential networks, associations and partner institutions for recruiting senior participants (aged over 65) for clinical
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, the following activities will be carried out: Identification of potential networks, associations and partner institutions for recruiting senior participants (aged over 65) for clinical studies. Planning
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(R1) Admission requirements: 1 - Bachelor's degree in Computer Engineering or similar areas* 2 - Experience in the use of Large Language Models (LLMs) and multi-agent platforms for the creation
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Research Studentships (for students of a Master or Integrated Master students) - (BL202/2025-IST-ID)
Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 3 months ago: Until now, we have been using neural networks with traditional architectures, namely the so-called Convolutional Neural Networks (CNNs). These networks are employed as the backbone of the Multiple
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of Administrative Procedure (CPA), all in their current wording, and by other applicable national and community legislation. Procedure Reference: IT137-25-472 I - Legal admission requirements I.I - Grant Recipients
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the general objective of enhancing the performance of modern wireless transmitters, for cellular network applications (frequencies on the order of units of GHz). These work activities cover different layers
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of funding, namely the Associated Laboratory Aquatic Research Network (ARNET; LA/P/0069/2020), which will support the necessary funding, under the following conditions: Scientific area: Aquatic Ecology
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of the unit. Work plan: Support for the University of Évora project team, particularly in the activities carried out in Activity 3 dedicated to the implementation of a demonstrative network of Montados and