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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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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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demonstrate experience in experimentation and implementation. Qualifications • Doctorate in Computer Science or a related technical field, equivalent experience, or or expecting to receive it within six
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sections from bioinformatic data analyses. Qualifications Degree in Genetics, Biology, Bioinformatics, Biostatistics, Computational Biology, Computer Science, or a related field. Previous experience in
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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on technical matters. Key Competencies and Requirements: Doctoral/Master’s degree in computer science/EEE specializing in Learning Analytics (LA)/Machine Learning (ML) Skills in Learning Analytics (LA) / Machine
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complex geometries arisen from emerging applications. The hire is in line with a University wide initiative to advance the application of Computational Science in interdisciplinary research. Key