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. This position is part of a strategic research collaboration between DTU and the Korea Advanced Institute of Science and Technology (KAIST), combining expertise in biomedical signal processing, neuroengineering
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The following skills are advantageous: Experience with processing and analysis of electrophysiological signals Experience with control theory and implementation Knowledge of rehabilitation robotics or assistive
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motivated PhD student with a background in biomedical or pharmaceutical engineering, biomedical sciences or similar. You will work under the supervision of Assistant Professor Lisa Maria Riedmayr
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assessments of data quality effects on genomic inference, and apply these methods to real datasets from extinct species. You will help shape how the field extracts meaningful biological signals from challenging
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biology and biomedical problems. Common to all activities is an interest in cellular signaling pathways affecting cell appearance, metabolism and behaviour. The research group covers a broad spectrum of
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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