Sort by
Refine Your Search
-
naturally with humans remains a challenge. AI:Cybernetics devel-ops a new kind of control system, where AI combines human signals (like muscle ac-tivity) with awareness of the environment (such as camera
-
. 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
-
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
-
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
-
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
-
closely related field Strong background in analog and mixed-signal CMOS circuit design Familiarity with biomedical signal acquisition (especially EEG) is highly valued Experience with standard IC design
-
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