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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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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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research on biomedical sensor applications (biomedical sensor interfaces/ integrated mechanical strain sensors) analog/Mixed-Signal Integrated Circuit Design (CMOS, low-power, low-noise design) publication
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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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, Neutrino physucs , Noise mitigation , Non-equilibrium quantum physics , Nonequilibrium physics in bulk and molecular quantum materials , Nonlinear and Complex Systems , Nonlinear Integral Systems, Classical
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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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experience in working with vibration or acoustic emission sensors would be advantageous Our offer This research, part of a large EU Project, will be carried out primarily at Empa in Dübendorf but may also
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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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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