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techniques and machine learning algorithms. The goal is to decipher patterns in the bioelectrical signals. Project UID-50008-2025 funded by FCT-Fundação para a Ciência e a Tecnologia. Scientific Area: Basic
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. Preference factors: - Outstanding academic performance in subjects such as Machine Learning and Artificial Intelligence; - Demonstrated knowledge and skills in Data Science or HCI (Human-Computer
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NEXUS – Nexus of Multidisciplinary Approaches in Explainable and Causal Machine Learning. This project is funded by national funds through FCT – Fundação para a Ciência e a Tecnologia, I.P., and, when
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learning methods; Experience with multivariate time series. Minimum requirements: Enrollment in a master’s program in Computer Science or a doctoral program in computer engineering or a related field, or in
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 5 days ago
in environmental or territorial studies. Preference will be given to candidates with aptitude for working in disaster risk management environments supported with GIS and Machine Learning, basic
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hemocompatible coating strategies to improve membrane–blood interactions. - Model and optimize membrane performance using computational tools, machine learning, and artificial intelligence Work Plan - Synthesis
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reproduction; 5. Experience in light microscopy and image analysis techniques (machine learning – FIJI, deep learning). Non-compliance with these requirements invalidates the application. Provision of false
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 10 days ago
simulations and models. Workplan involved construction of chemical networks and analyzing them. Additional topics may include exploring those replicators’ errors. The success of this project will teach us about
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. Preferential Factors Knowledge of machine learning, information retrieval, and natural language processing. Experience with conversational models and systems. Knowledge of Large Language Models (LLMs) and Large
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related areas, with a special emphasis in the areas of Artificial Intelligence, Machine Learning and data models, in addition to app development; - If the candidate holds a higher education degree obtained