24 engineering-image-processing Fellowship positions at Nanyang Technological University
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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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, for the purpose of aiding and enabling downstream tissue engineering and preclinical study, working with other team members. Key Responsibilities: Design and develop a prototype to analyse the electrical signals
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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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of today is constantly evolving to keep pace with advances in technology and globalisation, requiring individuals to adapt and develop new skills to ensure resilience through a culture of lifelong flexible
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-management) and direct-conversion detection pathways. The role will coordinate materials/device fabrication, characterization and imaging validation (e.g., MTF/SNR, low-contrast detectability), align workplans
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The School of Mechanical & Aerospace Engineering (MAE) is a robust, dynamic and multi-disciplinary international research community comprising of world-class scientists and bright students. MAE
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on the developed models for agencies/commercial partners Supervise junior researchers and master students Job Requirements: Preferably PhD in Computer Engineering, Computer Science, Electronics Engineering or
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improvements. Validate reliability and scalability via thermal cycling/HTS/electrical stress on test vehicles; build prototype stacks (e.g., interposer/test-chip) to evidence manufacturability. Report and
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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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of PhD/Masters/FYP students. Job Requirements: Preferably PhD in Computer Science, Electrical & Electronic Engineering, or equivalent. Background knowledge in signal representation/processing, esp