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expected to hold: • A master degree in biomedical engineering • Excellent programming skills in Matlab and/or Python. • Experience in recording and analysis of electrophysiological signals is an advantage
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of biomechanics, biomedical imaging, and neuromuscular physiology in an interdisciplinary and international environment. Limited teaching within biomechanical engineering can be expected, but also in other study
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Electrophysiological signal processing of, e.g., EEG, ECG, EMG, etc. Health data science, incl. modern machine, and deep learning methods, Cloud-based platforms like MS Azure or Google Colab Health data standards, like
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microscope (HS-DAFM) control software and signal processing circuits. These systems are critical for capturing high-quality nanotexture images from skin samples collected across five countries and four
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for intelligent brain-computer interfaces? We are offering a PhD position in analog/mixed-signal CMOS circuit design for EEG and wearable sensor interfaces, as part of a pioneering project focused on assistive
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include: CMOS-based neuron and synapse circuit design Low-power digital architecture for SNN processing On-chip learning mechanisms Integration with sensor interfaces for biomedical signal processing What
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project on a real-time brain-inspired system-on-chip for seizure detection and prediction using EEG signals. We are seeking a motivated postdoctoral researcher to develop high-accuracy algorithms