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Website https://fenix.tecnico.ulisboa.pt/fenixedu-admissions Requirements Research FieldEngineering » Computer engineeringEducation LevelUndergraduate Skills/Qualifications Admission Requirements 1
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 4 hours ago
supramolecular networks/IST-ID), (1801P.01682) 2024.14207.PEX, financed by national funds through FCT/MCTES (PIDDAC Workplan: This project focuses on self-replication driven by self-assembly, using computer
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Telecommunications and Computer Engineering. b) Having an interest in application development and the integration of computer systems Selection process Contest Evaluation Method(s) Curricular evaluation weighted to 70
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LMPS - CNRS - CentraleSupélec - ENS Paris-Saclay | Gif sur Yvette, le de France | France | about 17 hours ago
localized at the level of anchoring devices such as clamps or sleeves. In this context, RTE (Réseau de Transport d'Électricité) deploys tools aimed at estimating the residual lifespan of conductors based
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methods is desired. 8. Experience with eye-tracking methods is desired. Preferred License: Yes If yes, what is the preferred licensure/certification?: valid US driver’s license Preferred Computer
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(estimation filter) methods, while preserving the convex character of the optimization problems to be solved. An alternative path to consider will be the use of convex relaxations. As the expected contributions
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. Desirable Criteria Experience implementing machine learning or deep learning models (e.g., neural networks, probabilistic learning methods). Knowledge of state estimation techniques, such as Kalman filters
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intelligence, and multimodal learning. The main objective of this position is to develop novel generative AI methods for computer vision applications, with a particular focus on Diffusion Models and Vision
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090,98 paid by bank transfer (according to FCT values table: https://www.fct.pt/wp-content/uploads/2026/03/Tabela-de-Valores-SMM-202… ), supported though PAD no. C69621 and C69622. 8. SELECTION METHODS
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une régression pour estimer la vitesse de cette zone. Les modèles développés seront testés sur des mouvements gravitaires connus et surveillés par des chercheurs des laboratoires EDYTEM et ISTerre, en