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Field
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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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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
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the University's research culture and collaborative profile. Qualifications: PhD in Computer Science/AI or a closely related field. Extensive research experience in machine learning, deep learning, and self
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, Software Engineering, or a related field. Demonstrated experience in deep learning and large language model research, joint modality representation learning, knowledge graph construction, particularly in
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deep learning approaches to disease modelling as well as on development of plat-forms for running and evaluating prediction models. The PhD candidate will develop methods for integrating heterogeneous
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, computer science, data science, or similar · Strong publication record in peer-reviewed conferences and/or journals · Experience applying machine learning methods (especially deep neural network approaches
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RIE2025. The Laboratory’s objective is to propel Innovation and Technologies commercialisation through NTU’s innovation and NTI’s deep technology. NTI-NTU Corporate Laboratory aligns with Singapore’s
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, empathy, and a deep understanding of diverse perspectives and cultures. About the Role As the Research Fellow: Aboriginal, you will be responsible for undertaking research projects in Aboriginal and Torres