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the lab Job Requirements: Bachelor’s degree in Electrical Engineering, Computer Science, or related field Knowledge and experience in machine learning, computer vision and deep learning Good written and
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testing data Development of machine learning models for battery health assessment and remaining useful life prediction Job Requirements: PhD degree in Electrical Engineering or related subjects. Expert
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on computer vision. The role involves developing and advancing novel algorithms for emerging challenges in computer vision, including continual learning and few-shot learning. The candidate is also expected
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Requirements: Ph.D. in Electrical and Electronic Engineering, Computer Engineering, Computer Science, Artificial Intelligence, Machine Learning, Human-Computer Interaction, Biomedical Engineering, or other
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Job Description Job Alerts Link Apply now Research Assistant in Quantum Algorithms and Machine Learning University-Level Unit: Centre for Quantum Technologies Faculty/Department-Level Unit
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learning-based computer vision algorithms and software for object detection, classification, and segmentation. Key Responsibilities Participate in and manage the research project together with the PI, Co-PI
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to conduct research in the areas of safety-critical control theory and machine learning. The role will focus on combining new theory or method in nonlinear system control and state-of-the-art machine learning
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background in earthquake monitoring. The successful candidate will lead and contribute to developing a machine-learning powered earthquake monitoring and early warning system. The role involves both
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. Develop AI and machine learning models for recycling process prediction and decision support, such as forecasting metal recovery, impurity levels, energy use, and emissions. Develop optimization and control
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computational chemistry, reaction network analysis, and machine learning for organometallic catalytic reactions. 2. Design of membrane-permeable macrocyclic peptide drugs via machine learning structure