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Job Description The Academic Counselor - Lead oversees the Graduate Certificate in AI & Machine Learning for Engineering, including academic advising, program management, admissions, recruitment
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California State University, Los Angeles | Los Angeles, California | United States | about 13 hours ago
College: Engineering, Computer Science, and Technology (ECST) Position Title: 2026-27 AY Lecturer Pool - Electrical and Computer Engineering (ECE) Department of Electrical and Computer Engineering
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Computer Engineering. Expertise in computer vision algorithms and image processing techniques (such as object detection, segmentation, and feature extraction). Proficiency in deep learning frameworks such as
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Computational Cost by Machine Learning and DFT-Based Data, Journal of Chemical Theory and Computation, 2024, 20 (16), 7287–7299. Funding category: Contrat doctoral PHD Country: France Where to apply Website https
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, Effects, and Criticality Analysis (FMECA), functional FMECA, advanced sensing techniques, sensor and operational data fusion, data analytics, and machine learning algorithms for condition monitoring, fault
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engineering or similar. Knowledge and experience with deep learning models applied in computer vision. Remarkable academic trajectory, validated by a strong record of publications in relevant international
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is $80,000. Education B.S., M.S. in machine learning, computer science, engineering or related technical discipline. REQUIRED APPLICATION MATERIALS Curriculum vitae with bibliography 3 references
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physics-integrated machine learning models—to predict, analyze, engineer, and understand microbial community dynamics. Applications span precision medicine and built environment microbiomes, with a strong
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publications. Support the management of project deliverables and research milestones. Requirements: Master’s degree in Computer Science, Computer Engineering, or related discipline Strong programming experience
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(SHORES) and the Division of Engineering, New York University Abu Dhabi, seek to recruit a Postdoctoral Associate to work on a fascinating project focused on the development machine-learning powered digital