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Field
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experiences in healthcare wearables signal, data processing are preferred. Interdisciplinary Collaboration: Engage with researchers in biomechanics, engineering, and healthcare to translate research
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, including design approaches, scanning methods, signal processing techniques, and comparison with alternative detection technologies. ii. Support design and development of NQR prototype, including system
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processing. The project which funds this position focuses particularly on the interplay of strong correlations and geometric fluctuations in quantum materials with topologically order, such as fractional
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process due to the constant exposure of the gut to microbes, pathogens, food, and chemicals. This process involves crosstalk between multiple immune cells, and within the epithelial layer, the communication
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processing. The project which funds this position focuses particularly on the interplay of strong correlations and geometric fluctuations in quantum materials, notably in systems displaying the fractional
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, which has a focus on topologically ordered phases of condensed matter systems, as well as their applications to quantum information processing. The project which funds this position focuses particularly
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regular meetings with the research group. Ph.D. in Electrical Engineering, Computer Engineering, Computer Science, or a related field. Proven experience working with LiDAR sensors, point cloud data
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Engineering, Computer Science, or a related field. Proven experience working with LiDAR sensors, point cloud data processing, and sensor integration. Strong background in signal processing, computer vision, or
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develop signal processing algorithms to characterize structural health in microreactors and other advanced nuclear reactor technologies. Metrics for success will include scientific output, disseminating
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sciences in the field of chemistry Experience in synthesis and spectroscopic characterization of organic compounds Computer skills Active knowledge of English, both spoken and written Specific Requirements