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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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, ballistocardiography, and bio-radar) in combination with machine learning based algorithms for time series analysis into the whole OSA diagnosis and treatment pathway. During diagnosis unobtrusive sensors that can be
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About us: We are seeking experts in medical image deep learning to join our team and help develop novel computationally efficient segmentation algorithms. We welcome application from individual with
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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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Location: Luxembourg, Luxembourg 1511, Luxembourg [map ] Subject Area: Quantum LDPC codes with efficient decoding algorithms Appl Deadline: none (posted 2025/08/05) Position Description: Apply Position
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training algorithms and AI architecture Image reconstruction, segmentation, and classification High performance computing for spatiotemporal data Major Duties/Responsibilities: Develop foundation AI models
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 8 hours ago
collection from air- borne (unpiloted aerial systems) and vehicular mounted sensor systems for determining pavement functional and structural conditions. The project that the candidate will be working on is
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of six Strategic Research Programs: Data Science for Tires, Tire as a Sensor, End-of-Life Tire Valorization, Sustainable Materials for Non-Pneumatic Tires, Sustainable Materials for Next Generation of
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to develop highly performant, CMOS compatible, thermal sensor and microbolometer technology. The project aims to revolutionize thermal imaging technologies for automotive, safety and surveillance by developing