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of the biggest challenges is the development of efficient, scalable, and low-noise control electronics that operate at cryogenic temperatures. This PhD project addresses this challenge by designing CMOS-based
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these components inside the PCB and connect them internally, which not only saves space, but also easily confines the electromagnetic noise and manages the cooling of the system. Eventually, it will greatly reduce
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Environment: Laboratory environment. Moderate noise. Special Conditions Posting Details Posting Number 25ST0084 Posting Open Date Special Instructions to Applicants Regional Campus Rutgers Biomedical and Health
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electronics, embedded programming, signal processing, vibration measurement and analysis, maintenance engineering, and electro-mechanical engineering. Funding This is a self-funded PhD. Find out more about fees
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and vibration / acoustic aspects to improve occupant health and productivity. Building Safety and Resilience: Protection of building occupants from hazards such as fire and lightning to improve safety
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electronics for space-borne Earth climate observations. With this goal in mind, the PhD project will explore ultra-low-noise detectors and advanced terahertz receiver architectures. Major responsibilities Your
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for faster medical imaging with reduced radiation dose. The focus will be on (cone beam) CT and its use in image-guided interventions in oncology. One of the main challenges is to deal with high noise levels
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scattering experiments with free electron lasers offer a new route to the structure determination of biomolecules. Due to the super-low signal-to-noise-ratio, computing the structure from such data is
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”. Research topics on vision based techniques for vibration measurements, artificial intelligence techniques, data analysis and signal processing techniques for structural health monitoring are covered in
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research themes include: Design of low-noise, low-power analog front-end for EEG electrodes Spike/event encoding of neural signals for neuromorphic processors CMOS interface design for glove-embedded sensors