126 parallel-processing-bioinformatics Fellowship positions at Nanyang Technological University
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engineering or related field At least 1 year of relevant experience in signal processing and machine learning. Good written and oral communication skills Proficiency in ANSYS, and lab test skill Ability to work
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Knowledge of electrodialysis, electrochemical systems, or ion transport processes Familiarity with surface functionalization techniques or polymer chemistry Experience in experimental design and materials
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: Preferably PhD in Computer Engineering, Computer Science, Electronics Engineering, or equivalent. Independent, highly analytical, proactive, and a team player; strong verbal and written communication skills
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: PhD degree in Computer Science, Electrical Engineering, or a closely related field Strong research background in computer vision and deep learning Solid experience with multimodal learning, segmentation
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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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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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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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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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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