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Optimization of procedures with automation in mind Translation of batch to flow procedure Optimization of developed flow process Maintenance of lab or equipment or supplies that include procurement and liaison
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machine learning, computer vision, and medical image analysis, with publications in top-tier AI and medical image analysis conferences and journals, including CVPR, ICCV, ECCV, NeurIPS, MICCAI, TPAMI, TIP
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research in Physics-Informed Machine Learning (PIML) for metal additive manufacturing process. This role will focus on developing novel machine learning frameworks that seamlessly integrate physical
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on multiscale subsurface imaging using advanced geophysical imaging techniques and on investigating how subsurface structure, material composition, and geodynamic processes influence regional seismicity. Key
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– materials and processes for syngas upgrading (e.g., tar, chlorine, sulfur removal); (c) Development of new materials from waste, e.g. slag in construction, nanomaterials for batteries and plastic additives
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research reports) and academic publication processes will be preferred. Knowledge Good knowledge of cognitive functions and cognitive neuroscience theories and techniques. Good or working knowledge
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conversion layers. The successful candidate will develop robust PQD/polymer composite films, optimize scalable film fabrication processes, and perform comprehensive optical and structural characterization. Key
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-driven methods. The role will focus on developing intelligent methods and operation-support tools for ATM applications, contributing to the advancement of research and innovation at Nanyang Technological
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research into health intervention processes; and increase Singapore’s regional and international profile as a centre of excellence for health behavioural sciences. We are looking for a Research Fellow to
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into workable engagements. Explore, pilot and document technology-enabled research processes (e.g., AI-assisted literature scanning and synthesis tools), and support Centre Management in developing improved