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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 7 hours ago
background with evidence of both skills related to convex optimization, machine learning, stochastic gradient descent, and deep learning Demonstrated experience in developing, analyzing, and implementing
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Jia Liu is seeking a highly-motivated postdoctoral researcher with a strong background in agentic artificial intelligence and machine learning. The successful candidate will conduct independent, high
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Response is seeking a fellowship participant to receive hands-on training in the coordination, development, and implementation of advanced software systems. Through mentorship and experiential learning, you
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accelerating the improvement of pecan cultivars through the discovery of novel genetic variation, development of genomic-assisted management techniques, or other applications of genomic technology in pecan
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. ICDS seeks outstanding early‑career researchers with expertise in Artificial Intelligence and Machine Learning in the following computational and data‑driven discovery areas: Earth Science Computational
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measurements and in the underlying physical models. Machine learning (ML) techniques can be exploited to identify common patterns in the data and augment the physical laws of wave propagation, leading in turn
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; Internet-of-things; relevant laboratory equipment. Required Qualifications REQUIRED QUALIFICATIONS: 1. Ph.D. in computer engineering, electrical engineering, computer science, or closely related areas from
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scientific publications. 4. REQUIRED PROFILE: Admission requirements: - Master’s degree in Computer Engineering or a related field, with a final grade of 16 out of 20 or higher. The awarding of the fellowship
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will be preferred. Requirements: PhD degree in learning sciences, educational technology, human-computer interaction (HCI), information technology, AI or relevant fields Prior experience and proficiency
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/ESA_selects_Harmony_as_tenth_Earth_Explorer_mission ) The candidate will develop and apply cutting-edge remote sensing or photogrammetry methods, in combination with data science approaches such as machine learning and data assimilation via