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skills;, Fluency in English and Portuguese (spoken and written). Preference factors: Experience in Machine learning, network sciences, Explainability, and network science;; Use and programming languages
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TRAINING: - survey the state of the art in emerging wireless networks, including their simulation using real data assimilation, machine learning, and digital twin approaches; - collaborate in the writing
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background) with supervised and reinforcement learning - Academic background in operations research - Programming knowledge in Python. Research FieldEngineering » Computer engineeringYears of Research
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, supported by INESC TEC. 2. OBJECTIVES: The objectives for this grant are as follows:; • Research and develop machine learning algorithms for the processing of gastric endoscopy images.; • Lead or support the
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18 Feb 2025 Job Information Organisation/Company INESC TEC Research Field Computer science » Programming Computer science » Computer systems Computer science » Informatics Researcher Profile First
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grant will focus on the development of methods to generate case-based explanations in a federated learning environment. Machine unlearning techniques will also be explored to ensure privacy. 3. BRIEF
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of the robot arm.; • Develop the software for the intelligent robotic programming module: implement algorithms (e.g. based on machine learning) for adaptive rehabilitation exercises; • Test and evaluate
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Language Processing, Information Retrieval, Machine Learning, and Information Extraction. ; 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: Defining and writing guidelines for the annotation of city council