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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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system, including traffic prediction, optimization, and safety enhancements. Key Responsibilities: Conduct applied research in machine learning, deep learning, and reinforcement learning for optimizing
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-cultural and interdisciplinary team Adaptable and willing to enter into deep learning in new areas Fuent in written and spoken English with good communication skills Hiring Institution: LKC
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optimization of multi-modal LLMs. Investigate and implement methodologies to ensure AI authenticity, accountability, and the integrity of digital content. Develop and refine machine learning and deep learning
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materials, electrolyte design, and battery chemistry. Additionally, we are committed to gaining a deep fundamental understanding of various battery systems. The Zhu laboratory is looking for postdoctoral
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materials, electrolyte design, and battery chemistry. Additionally, we are committed to gaining a deep fundamental understanding of various battery systems. The Zhu laboratory is looking for postdoctoral
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materials, electrolyte design, and battery chemistry. Additionally, we are committed to gaining a deep fundamental understanding of various battery systems. The Zhu laboratory is looking for postdoctoral
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aspirations and development goals. Job Requirements: Essential Criteria Close to completion or hold a relevant Ph.D. with post-qualification research experience in statistical machine learning, and deep
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Fellow in EEE to contribute towards NLP-based research and associated deep learning applications. The Research Fellow/Research Associate is also expected to support teaching activities as required by
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SIT's mission is centred on nurturing industry-ready graduates who possess deep technical expertise and transferable skills to address future challenges. We collaborate with industry in our