235 sensor-algorithm-"Fraunhofer-Gesellschaft" Postdoctoral positions in United States
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place technologies and to develop digital twin algorithms to assist clinicians in developing treatment plans. Analyzes complex sensor data, works with a multidisciplinary team to develop health digital
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of developing wireless, implantable sensor technologies aimed at transforming orthopedic care and regenerative medicine. The lab specializes in engineering battery-free, resonance sensors, such as inductive
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research tasks investigating navigation and integrity assessment of several aircraft-related sensor modalities. The candidate will be mentored by Dr. Jay Wilhelm (Associate Professor of Mechanical
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Stanford University / SLAC National Accelerator Laboratory | Menlo Park, California | United States | 1 day ago
decays using ultra-low-threshold superconducting sensors. For 1), we are members of the nEXO and XLZD experimental collaborations and are pursuing a next-generation experiment capable of measuring 0𝜈ββ
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, Quantum Information , Quantum Optics , Quantum Optics and Quantum Science , Quantum Science , Quantum Sensors Appl Deadline: none (posted 2024/10/25) Position Description: Apply Position Description What
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automation, machine learning, mobile robotics, process control, sensor processing, machine vision, and/or human machine interaction. This position will require working with external partners, corporations, and
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into the underlying physics of these materials and how they may be incorporated into sensors for medical imaging, high energy physics, and bioimaging. This position’s duties will include the following: Synthesis
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scale. Test methods for calibration corrections and noise reduction in retrieved data. Test algorithms for retrieval of sea surface temperatures from infrared radiances. Test algorithms for cloud masking
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detectors while also having flexibility to pursue your own research interests. Research Focus Participate in a detector R&D program aimed at developing superconducting nanowire sensors to enable
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) Group led by Prof. Ravinder Dahiya. BEST group aims to bring fundamental changes in the way the sensors and electronic devices are developed using materials designed for sustainability, and resource