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20 Jan 2026 Job Information Organisation/Company Universidad de Alcalá Department European Projects Office Research Field Technology » Computer technology Researcher Profile First Stage Researcher (R1) Positions Bachelor Positions Application Deadline 3 Feb 2026 - 23:59...
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research network called NiteLiDAR. We want to use the results of this research, together with our partners, to create innovative demonstrators for the next generation of LiDARs. In the second step you will
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Research Associate Development & application of wire-mesh sensors for thermohydraulic test facilitie
Research Associate (m/f/x) Development and application of wire-mesh sensors for thermohydraulic test facilities (subject to personal qualification employees are remunerated according to salary group E 13 TV
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Engineering offers a position as Research Associate (m/f/x) Development and application of wire-mesh sensors for thermohydraulic test facilities (subject to personal qualification employees are remunerated
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) using empirical methods such as ground-motion prediction equations and observed data. Feasibility study for a low-cost sensor network aimed at characterizing the variability of ground shaking at the urban
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This self-funded PhD opportunity explores assured multi-sensor localisation in 6G terrestrial and non-terrestrial networks (TN–NTN), combining GNSS positioning, inertial systems, and vision-based
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Current reseach is in the areas of: Development of biomimetic structures as ultrasound contrast agents Deep tissue imaging using photoacoustic contrast agents All optical photoacoustic sensors
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; wireless sensor networks; green communications; next generation wireless broadband networks; signal processing and acoustics; digital image processing; structural health monitoring and underwater
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accepted all year round Details Future intelligent systems will involve the deployment of large-scale sensor networks in which hundreds or thousands of microsensors, unexpensive, small and lightweight
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and sensor networks. This includes, in particular: Developing and implementing machine learning and deep learning models for evaluating sensor data (Pre-)processing and analyzing time- and frequency