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the other Q-MMD seed projects as well as scientists in the wider quantum ecosystem at UvA; where appropriate, connecting prototypes to available quantum-computing infrastructure and hardware partners
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acquisition hardware, wireless communication modules, and user-interface software. • Support signal processing, data analysis, and integration of AI-based analytical tools for automated interpretation
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Integration: * Collaborate with the AI team to implement domain-adapted, instruction-tuned LLM agents and RL algorithms that dynamically steer hardware execution. * Work alongside robotics engineers
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system stability. Candidate will also develop robust control strategies for inverter-based resources, and conduct hardware experiments and hardware-in-the-loop testing to validate the control algorithms
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emissions of networks through the use of carbon-aware network telemetry, and the implementation of new hardware support mechanisms. Your role will include the design, implementation and evaluation
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, image reconstruction, and AI-driven imaging for groundbreaking clinical applications. Information Ultrasound is one of the most widely used medical imaging modalities due to its safety, accessibility, and
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. The position focuses on developing integrated circuits and hardware systems that merge sensing, signal processing, and inference directly at the analog and RF interface. This approach enables orders-of-magnitude
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(LHCb) physics program at the Large Hadron Collider (LHC). This group is actively participating in the design and realization of various hardware projects in support of the LHCb and electron ion proton
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neural processing hardware and design tools, and ML security, and their applications in resource-constrained Embodied-AI systems (like autonomous vehicles, UAVs/UGVs, Robotics, smart houses/cities
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of microwave and antenna hardware. Develop and experimentally demonstrate antenna functions including reconfigurability, shape morphing and two-dimensional beam steering for CubeSat applications. Support system