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in the 2025 QS World University Rankings by Subjects. We are hiring a Research Fellow in Signal Processing and Machine Learning to develop signal processing and machine learning algorithms and methods
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Nanolab and at UiT), including process optimization and structural characterization. Characterization of the fabricated chip with an optical set-up Integrate the chip in a system and adapt the system
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for drone swarms. The role will focus on multi-agent visual perception techniques. Group website: https://personal.ntu.edu.sg/wptay/ Key Responsibilities: Develop signal processing and machine learning
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Sensing (DAS) has emerged as a powerful technology for down-hole monitoring of flow processes in petroleum wells, using fibre optic cables as acoustic sensors. Despite its potential, current applications
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and is well suited for optical readout using the single photon emitter (SPE) property. Importantly, point defect SPEs can operate at room temperature (RT), in contrast to most other available QT
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | about 2 months ago
execution of cognitive behavioral tasks; - Acquisition and analysis of neural signals obtained through either in vivo eletrophysiological or neuroimaging methods; - Computer programming for data analysis
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students work to create knowledge for a better world. You can find more information about working at NTNU and the application process here . About the position The advancement of laser, optical amplifier
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for accurate localization and tracking of 5G network User Equipment (UE) in urban environments. Group website: https://personal.ntu.edu.sg/wptay/ Key Responsibilities: Develop signal processing and machine
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for drone swarms. The role will focus on multi-agent visual perception techniques. Group website: https://personal.ntu.edu.sg/wptay/ Key Responsibilities: Develop signal processing and machine learning
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degree recognition processes. c) Preferred factors: Experience in optical characterization technologies (preferably Brillouin spectroscopy) and/or experience in microfabrication technologies applied