1,463 machine-learning "https:" "https:" "https:" "https:" "RAEGE Az" positions in Singapore
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developing innovative solutions for integrating geophysical data and machine learning approaches for geological modelling and site characterization. The position is expected to perform independent and
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programming skills in Python and familiarity with AI/ML frameworks. Good understanding of LLM architectures, transformer models, and machine learning fundamentals. Experience with model serving / inference
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deployment enabling validation and demonstration of real-world applications. For more details, please view https://www.ntu.edu.sg/erian Key Job Purpose: We are looking for an early-career Analytical Specialist
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School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee We are looking for a Research Fellow to pursuing
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sustainable technologies. For more details, please view: https://www.ntu.edu.sg/eee The LUMINOUS! Centre of Excellence for Semiconductor Lighting and Displays at NTU is seeking a Research Fellow (Quantum
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. While the administrative language of the University is English, candidates are also expected to be able to teach in Chinese. Requirements Requirements include: A PhD in or in a related field. Evidence of
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at entrepreneurship and boldly initiating start-up ventures. Job Requirements for Teaching-Track Faculty We seek to fill positions in several areas including but not restricted to statistical and machine learning (ML
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at entrepreneurship and boldly initiating start-up ventures. Job Requirements for Educator-Track Faculty We seek to fill positions in several areas including but not restricted to statistical and machine learning (ML
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project and laboratory. (https://cde.nus.edu.sg/mse/staff/ming-zhao/ ; https://www.mingzhaogroup.com/) Qualifications • BS degree or higher in materials, chemistry, chemical engineering, physics
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Project Overview We are hiring research engineers interested in advancing the state of the art in data-efficient machine learning at SMART in the new program: Mens, Manus and Machina: How AI