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INESC TEC is accepting applications to award 4 Scientific Research Grant - NEXUS - CTM (AE2025-0564)
the motivation letter, the specific Research Topic they are applying to.; ; The Work Programmes of each Research Topic are listed below:; ; Research Topic #1 – Data-rate Adaptation for Emerging Wireless Networks
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algorithms. The aim is to develop a high-performance intelligent motor control system that enables greater sustainability, safety and efficiency of the e-bike's energy system, in order to meet the requirements
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Requirements. The applicants must reference, in the motivation letter, the specific Research Topic they are applying to.; ; The Work Programmes of each Research Topic are listed below:; ; Research Topic #1
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simulation of algorithms for detecting intermittent faults in compensated networks. Identification and testing of conditions for selective protection of intermittent faults in meshed and radial networks
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Regulations of the University of Aveiro. 5. Work Plan: he work plan is integrated into the activities of the NEXUS Agenda, with an emphasis on the development of methods and algorithms with applications in
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Systems”. The objectives of this work consist of: (a) analyzing historical consumption data to identify patterns and guide the selection of suitable AI algorithms; (b) studying and applying advanced machine
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benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: ● Research and develop novel reliable deep learning computer vision algorithms for the detection and quantification of GIM lesions
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process and the results obtained. 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: - To contribute to the specification and development of algorithms for optimizing energy systems with
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; T2: State-of-the-art review and model testing; T3: Development of algorithms for information extraction; T4: Algorithm testing and validation; T5: Preparation of reports, presentations, and other
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of article nº 9 of the Scientific Research Grant Regulations of the University of Aveiro. 5. Work Plan: Intelligent, modular battery with machine learning algorithms. The aim is to develop a high-performance