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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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to the project, uniting experts in battery technology and acoustic signal processing and machine learning. The goal is to harness advanced data science techniques to establish a novel paradigm for online non
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in robotics, AI, signal processing, and autonomous systems to join the SonicEye research project, funded by the National Defence Technology Centre (NFC) and conducted in collaboration with leading
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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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proteins for enrichment of cancer biomarkers and to understand cellular signalling pathways involving post-translational modifications, including methylated and phosphorylated protein species. Complete
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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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communication technologies, including long-term vision and strategy development. Pioneering advanced optical technologies, applying nonlinear optical signal processing to manipulate optical quantum states
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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