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Requirements: PhD or master’s degree in computer science, Computer Engineering, Computational Social Science or its equivalent. Bachelor’s degree holders need to have at least three years of experience working
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adolescents and other related inquiries. Requirements Essential A Master’s Degree in Learning Sciences, Education, Psychology, Data Science, Educational Neuroscience or a related field; Applicants with a PhD
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Requirements: PhD degree in Artificial Intelligence, Computer Science, or a related field from a prestigious institution. Good written and oral communication skills. Proficiency in developing deep learning
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to apply advanced AI models in areas such as catalyst design, multi-scale modeling, and spectroscopic analysis. The Research Fellow will take on a significant role in machine learning theoretical energy
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: PhD in Materials Science, Chemistry, Physics, Computer Science, or a related field. Strong expertise in machine learning for materials science (e.g., generative models, neural networks, active learning
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ethical and security standards. Concept and Algorithm Development: Innovate in data science, machine learning, and AI. Data Analysis and Reporting: Contribute to data analysis, reporting, and publication
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, leveraging advanced learning analytics, machine learning, and deep learning techniques. The candidate shall work under the supervision of the Principal Investigator (PI) and Co-PIs to conduct academic research
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storage materials, and employing machine learning and high throughput for the discovery of new electrode materials and electrolyte systems. 1. Holds a PhD degree in chemical engineering, chemistry
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. Job Requirements: PhD degree in Computer Science, Computer & Electronics Engineering or other related fields Strong background and knowledge in Cybersecurity, especially network security and cellular
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storage materials, and employing machine learning and high throughput for the discovery of new electrode materials and electrolyte systems. 1. Holds a PhD degree in chemical engineering, chemistry