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this context. Already enrolled in a PhD programme. Minimum requirements: Knowledge of mathematics, machine learning, proficiency in programming languages including Python, C/C++. Experience with machine learning
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21 Nov 2025 Job Information Organisation/Company INESC TEC Research Field Engineering » Electronic engineering Mathematics » Applied mathematics Computer science Researcher Profile First Stage
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21 Nov 2025 Job Information Organisation/Company INESC TEC Research Field Engineering Mathematics Researcher Profile First Stage Researcher (R1) Country Portugal Application Deadline 4 Dec 2025 - 23
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2 Oct 2025 Job Information Organisation/Company INESC TEC Research Field Engineering » Computer engineering Engineering » Electrical engineering Mathematics » Applied mathematics Computer science
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protocols for data collection with motion capture systems and curation of the resulting data - Design generative models for the creation of human movement datasets for training AI models - Evaluate
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the preparation of technical reports on the algorithms, mechanisms, models, or protocols developed; - collaborate in the development of new communications solutions for extreme environments; - contribute to co
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interfaces (HMI), and industrial-grade communication protocols for automation in electric power systems.; • Develop and adapt a test network — a simulation model or a replica of a real network — for DIgSILENT
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INESC TEC is accepting applications to award 4 Scientific Research Grant - NEXUS - CTM (AE2025-0564)
; - survey and analyze the state of the art in emerging wireless networks, including simulation aspects; - collaborate in the preparation of technical reports on the algorithms, mechanisms, models
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or Applied Mathematics. The awarding of the fellowship is dependent on the applicants' enrolment in study cycle or non-award courses of Higher Education Institutions. Preference factors: Previous experience in
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; 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: - Identify state-of-the-art Vision-Language Models for image captioning; - Benchmark the models in occlusion scenarios; - Cooperate in writing