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– Automatic User Requirements Assessment for On-demand Emerging Wireless Networks; - survey and analyze the state of the art in emerging wireless networks, including simulation aspects; - collaborate in
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infrastructure. More specifically, this research grant aims to achieve the following objectives:; • Expand scientific and technical knowledge in the field of real-time simulation, SCADA systems, human–machine
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research grant aims to achieve the following objectives:; • Expand scientific and technical knowledge in real-time simulation, creating the conditions for the remote control of a real-time computational
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of the institution's charging infrastructure.; • Contribute to the development of energy metering modules.; • Explore and implement software solutions for communicating metering data between devices.; • Design, simulate
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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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infrastructure. More specifically, this research grant aims to achieve the following objectives:; Expand scientific and technical knowledge in the field of real-time simulation, human–machine interfaces (HMI), and
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infrastructure. More specifically, this research grant aims to achieve the following objectives:; • Expand scientific and technical knowledge in real-time simulation, creating the conditions for the remote control
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infrastructure. More specifically, this research grant aims to achieve the following objectives:; • Expand scientific and technical knowledge in real-time co-simulation, creating the conditions for a single real
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results); Implementation of the hardware interface between the RISC-V core and CGRA, either in hardware (via HLS or HDL) or via a co-simulation system ; Contribute to or use a binary generation method for
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developing synthetic datasets using simulation environments. Familiarity with the theory and implementation of diffusion models and GANNs applied to the same context. Minimum requirements: • Knowledge