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manipulating omics datasets, including spatial transcriptomics, RNA-seq, and single-cell RNA-seq. Familiar with high-performance computing (HPC) environment and possesses good computational biology skills
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, please view https://www.ntu.edu.sg/newri . We are looking for a Research Fellow to support the research project on “Novel High Performance Piezoelectric Thin Film Composite (TFC) Nanofiltration/Reverse
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possess strong interpersonal communications skills with excellent written, oral communication and computer skills. Perform experiments with live laboratory mice, including administering treatments
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posed by traditional compendial methods. Despite RMM having a shorter incubation period, the dependency of RMM on cells, high operator complexity and challenges in integrating process analytical
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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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deployment enabling validation and demonstration of real-world applications. For more details, please view https://www.ntu.edu.sg/erian We are looking for a Research Fellow to develop high performance and
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a team, to ensure proper operation and maintenance of equipment. Job Responsibilities Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Software Engineering, or a related
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with academic researchers and industry engineers to transform research prototypes into deployable, high-performance solutions aligned with industrial requirements. Key responsibilities: Develop and
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and interpretable machine learning systems. The successful candidate will work on projects involving ensemble learning, large-scale data analytics, and high-performance model design, aimed at developing
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. The candidate will collaborate closely with academic researchers and industry engineers to transform research prototypes into deployable, high-performance solutions aligned with industrial requirements. Key