45 machine-learning-phd Fellowship positions at Nanyang Technological University in Singapore
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conferences/journals. Involve in the mentoring of PhD/Masters/FYP students Job Requirements: Possess a PhD degree in Computer Science or Electrical and Computer Engineering Experience in point cloud analytics
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validation. Job Requirements: A PhD Degree in AI/Computer Science, Aerospace Engineering, Mechanical Engineering, etc. Strong background in deep learning, machine learning, and/or image processing. Relevant
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findings in a form of reports/papers and present in international peer-reviewed conferences and journals. To be involved in the mentoring of FYP/Master/PhD student projects. Job Requirements: Possess a good
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disciplines of machine learning and artificial intelligence to develop multimodal large language models with capabilities such as conversational information retrieval, multimodality sensemaking, question
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ATMRI is seeking to hire a Research Fellow to conduct innovative to develop artificial intelligence methods and machine learned models to improve the performance, reliability and safety of air
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disciplines of machine learning and artificial intelligence to develop multimodal large language models with capabilities such as conversational information retrieval, multimodality sensemaking, question
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disciplines of machine learning and artificial intelligence to develop multimodal large language models with capabilities such as conversational information retrieval, multimodality sensemaking, question
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. Develop algorithms for continuous knowledge transfer and compositional reasoning to facilitate efficient learning of new tasks. Help supervise PhD, master and undergraduate students. Job Requirements: PhD
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. Experiences in AI and data analysis are essential. Entry Level candidates are welcome if their PhD theses are in the field. Strong background in machine learning, statistics, and computational modeling
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following fields: Large random matrices Machine Learning Job Requirements: PhD degree in statistics or related areas. Experience in random matrices or machine learning Strong written and verbal communication