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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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indicate how earlier work by the applicant relates to PACA’s research goals and explain the motivation for applying for this postdoc position. All non-Danish documents must be translated into English
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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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-efficient accelerator architectures by designing digital and mixed-signal blocks for SSM inference in edge-AI systems. The successful candidate will explore novel SSM architectures that support sequence
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that support spike-based processing and memory-efficient computation using SSMs, targeting edge-AI scenarios in wearables, robotics, or sensor networks. Research area and project description The project will co
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the Loft group is particularly focused on understanding how the adipose tissue serves as a critical signaling hub in the context of metabolic diseases, such as MASLD and cardiovascular diseases. For this, we
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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
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-out key analog and mixed-signal building blocks (e.g., low-noise amplifiers, voltage/current sources, multiplexers, digital logic) for operation at cryogenic temperatures. Develop measurement setups
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processing conditions, and minimizing environmental exposure during final application. The assessments are crucial for validating safer alternatives and sustainable process designs. Qualifications
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to assess performance, efficiency, and dynamic behavior under fluctuating input power. Synthetic Fuel Synthesis: Investigate catalytic and process parameters for ammonia and methanol production using green