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Field
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self-supervised learning and multimodal representation methods suited to heterogeneous multi-sensor experimental data. Investigate the ability of learned representations to extract relevant information
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sustainable agricultural production. The successful candidate will play a key role in designing and implementing research at the intersection of sensor data collection, machine learning, remote sensing, and
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King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 17 hours ago
involves conducting translational research on next-generation, large-area nanofiber acoustic sensor platforms for structural health monitoring applications. The candidate will work in a
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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
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 2 months 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
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The University of Manchester is inviting applications for a Post-Doctoral Research Associate to lead the design of next-generation vision processor hardware. This role focuses on near-sensor
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processing, beamforming, image reconstruction, elastography, Doppler imaging, or computational imaging. Demonstrated experience in algorithm development and scientific programming, preferably in Python
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Semiconductor Laboratory of the Max Planck Society (HLL), Garching | Garching an der Alz, Bayern | Germany | 14 days ago
earliest possible date on a full-time basis (39 hours/week). Your responsibilities Develop and optimize quantum sensor concepts based on qubit systems and quantum effects. Perform advanced numerical
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King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 17 hours ago
University of Science and Technology (KAUST) Open Date Feb 12, 2025 Description We are seeking motivated researchers with expertise in large-area 2D materials growth for sensor and transistor applications. The
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evaluating their performance relative to classical machine learning and statistical methods. The research would combine algorithm development with implementation and evaluation on current quantum computers