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, Computer Science, Statistics, or other related fields. Familiarity with machine learning and signal processing algorithms for wireless communications. Good written and oral communication skills
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are listed below:; ; Research Topic #1 – Automatic User Requirements Assessment for On-demand Emerging Wireless Networks; - knowledge of Vision Foundation Models (VFMs) and Vision Language Models (VLMs
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closely related discipline. *must be obtained within 3 months of closing date of post. Significant, relevant research experience in wireless communications or related area. Evidence of strong publication
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INESC TEC is accepting applications to award 4 Scientific Research Grant - NEXUS - CTM (AE2025-0564)
. ; ; Research Topic #4 – A Compact Mobile Communications Cell Prototype; - survey and analyze the state of the art in emerging wireless networks, including simulation aspects; - collaborate in the preparation
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: Strong expertise in signal processing for wireless communication systems, including modulation and coding techniques on the physical layer of a radio, array antennas and their use in multiple input
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solving complex problems at the intersection of wireless communications, edge computing, and machine learning, and who is eager to translate theoretical insights into practical, IoT systems. Key
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angular momentum (OAM) for wireless communication Knowledge and experience in programming software defined radios such as ADALM-PLUTO Measurement of antennas in an anechoic chamber Experience of taking part
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. SUSTAIN will tackle fundamental challenges across electronic textile-based sensing, wireless, electrochemical, and design technologies, with a focus on sustainable developments towards practical user
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challenges across electronic textile-based sensing, wireless, electrochemical and design technologies with a focus on sustainable developments towards practical user-centric e-textile systems. In these roles
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challenges across electronic textile-based sensing, wireless, electrochemical and design technologies with a focus on sustainable developments towards practical user-centric e-textile systems. In these roles