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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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qualifications: MSc degree in electrical engineering, mathematical engineering, mathematics, computer science or similar; Solid mathematical and analytical skills, including signal processing, statistical learning
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research center and two companies. The project has partners from eight different EU countries. All 15 Ph.d. projects are within the overall theme of neuromorphic computing and analog signal processing
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cellular and molecular mechanisms driving inter-individual variability remain poorly understood. This PhD project will focus on experimental validation of cellular states and signaling pathways identified by
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detailed theoretical models with mechanistic understanding. This project seeks to advance our understanding of complex biological processes that regulate living organisms through interplay of creating
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analytical skills, including signal processing, statistical learning, optimization, deep learning, or information theory; Experience in programming, e.g., in C++, Python or Matlab. Qualification requirements
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different EU countries. All 15 Ph.d. projects are within the overall theme of neuromorphic computing and analog signal processing, targeting applications in the fields of communication, sensing
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universities, one research center and two companies. The project has partners from eight different EU countries. All 15 Ph.d. projects are within the overall theme of neuromorphic computing and analog signal
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PhD fellowship at the Copenhagen Center for Glycocalyx Research at the Department of Cellular and Mo
(CGR) The Copenhagen Center for Glycocalyx Research (CGR) aims to uncover the vital role of the glycocalyx, a cell surface layer of complex glycans, that integrates signals from cells and their