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skills in Python. Experience with git is helpful. Knowledge of optics, microscopy, and imaging systems. Knowledge of image processing and signal analysis. Interest in biomedical imaging and research
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extensive research facilities and excellent track record on the full pipeline of microwave and radar sensing, from hardware development to signal processing and automatic object classification. Your direct
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has extensive research facilities and excellent track record on the full pipeline of microwave and radar sensing, from hardware development to signal processing and automatic object classification. Your
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. The project will be co-supervised by Özge Şahin and Tina Nane in Applied Probability from TU Delft and Annemieke Witteveen in Biomedical Signals and Systems from the University of Twente. Besides carrying out
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: Consortium-wide individual research projects DC1 – Multi-frequency GNSS-R signal processing DC2 – Investigation of advanced reflectometry instrumental concepts with simulated scattered sig-nals DC3
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Job related to staff position within a Research Infrastructure? No Offer Description My group is interested in biological signal processing, especially in the context of chemical stimuli in gene
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integrated into an innovative research line that aims to uncover new MRI signal phenomena in the microvasculature and develop novel acquisition schemes to use those as biomarkers with quantitative MRI
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. Strong background in signal processing and optimization. Background in electromagnetics and antenna design is appreciated. Proficiency in programming languages such as Python or MATLAB. Experience with
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-resolution microscopy by the “re-scan confocal” technique. Here the confocal spot that is scanned through the sample is re-imaged onto a conventional camera, enabling advances in resolution and signal-to-noise
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solar cells, plant-based energy harvester is a “living” energy harvester that responses to electrical conditions slowly, and the traditional maximum power point track (MPPT) techniques cannot be applied