21 evolution "https:" "https:" "https:" "https:" "https:" "https:" "Universitat de Vic (UVIC UCC)" positions at Instituto de Telecomunicações in Portugal
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of the following tasks: Development of a complete radar system, with a strong focus on the design and implementation of the RF front-end. This work will cover the entire electronic chain, from signal generation and
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: Optical Communication Systems and Networking – AV Work Objectives: 1) development of advanced channel estimation tools for the online prediction of FSO link loss caused by atmospheric effects; 2
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NeuroVision – Neuromorphic Vision Sensor Data Coding. The project focuses on the development of efficient, low-latency, and scalable coding solutions for event-based (neuromorphic) vision sensors, targeting
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Experience & Adaptive Connectivity for Cooperative Mobility". Scientific Area: Networks and Services Group: Networked Systems – Po Work Objectives: - Development of a Python application for anomaly detection
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high-quality research and development in Antennas. Topics include antenna design, namely for microwave and mm-Wave bands, electromagnetic characterization of materials, and radio wave propagation studies
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Regional Development Fund (FEDER), through the Innovation and Digital Transition Programme (COMPETE 2030) of the Portugal 2030 framework [Project ALBATROZ with Nr. 17775 (COMPETE2030-FEDER-01335900
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Regional Development Fund (FEDER), through the Innovation and Digital Transition Programme (COMPETE 2030) of the Portugal 2030 framework [Project ALBATROZ with Nr. 17775 (COMPETE2030-FEDER-01335900
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of the following tasks: Development of subsystems for high-speed optical communication systems, including pointing, acquisition and tracking, optical fiber coupling and digital signal processing (DSP) algorithms
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or in a non-degree course, must be submitted by the time of contract signing. Apply online clicking on the “Apply Now” button in this form https://www.it.pt/Positions/OtherResearchPosition/8277 After
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reference. The student will focus primarily on the photonic integration of machine learning methods, contributing equally to the development of ML algorithms in this context. Their work will include