1,419 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" positions in Singapore
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unique applied learning pedagogy integrates work and study, embedding authentic learning experiences within real-world environments. Through strategic partnerships forged by our faculty with industry
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. The University’s unique applied learning pedagogy integrates work and study, embedding authentic learning experiences within real-world environments. Through strategic partnerships forged by our faculty with
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with people within and external to the university. Self-directed learner who believes in continuous learning and development Proficient in technical writing and presentation Possess strong analytical and
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or Applied Physics, as well as graduate training leading to MSc and PhD degrees. Details of the Division can be found at https://www.ntu.edu.sg/spms/about-us/physics . The College of Science seeks a diverse
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to cutting-edge academic research and supports research and development initiatives across government, industry and academia. For more details, please visit https://www.ntu.edu.sg/nice . Job Description We
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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 focus
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, computational biology, bioinformatics, biostatistics, machine learning, or a related discipline. ● Strong background in at least one of infectious disease modelling, phylogenetics, or phylodynamics (background in
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undergraduate training leading to BSc (Hons) in Physics or Applied Physics, as well as graduate training leading to MSc and PhD degrees. Details of the Division can be found at https://www.ntu.edu.sg/spms/about
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Applied Learning, offering industry-relevant degree programmes that prepare its graduates to be work- and future-ready professionals. Its mission is to maximise the potential of its learners and to innovate
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Project Officer (Civil Engineering/Materials Science/Mechanical Engineering/Construction Technology)
, mechanical testing, mix design preparation). Familiarity with AI or data-driven tools, such as: machine learning for prediction/modelling, data analytics for material/printing optimisation, or AI-assisted