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Field
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Signal Processing and Image Analysis group (DSB), Section for Machine Learning, at IFI. DSB has seven full-time and five adjunct positions and carries out research across image analysis and machine
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processing, artificial intelligence, cognition and deep learning, machine learning, navigation and mapping, autonomous driving, assistive robotics, drones, dynamics and vibration, acoustics, medical imaging
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on cell biophysical properties. To validate MRR as novel CQA in stem cell manufacturing. Key Responsibilities: Design and develop a microfluidic prototype to analyse the electrical signals of cells
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subsequent downstream process that leads to productive viral gene integration. The goal of this position is to work on active projects to generate data for publications and to also generate data for external
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of a vestibular-inspired neuromorphic microchip (VEST-CHIP) designed for real-time, ultra-low-power bilateral sensor processing to enable continuous monitoring in wearable — and potentially implantable
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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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special cases within the broader GDL paradigm. Research in GDL relies on a strong theoretical foundation, drawing on group theory, differential geometry, and representation theory. The performance gains
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models Applying imaging modalities to support drug distribution and efficacy studies Collaborating with national partners across a multidisciplinary research network This position offers a unique
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prevention Cell biology and tumor biology Developmental Biology Epidemiology Genomics Medical Technology Metabolomics Molecular imaging and radio oncology Redox biology Tumor immunology and immunotherapy
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funding, and advance environmental engineering research. Contribute to the development and operation of water monitoring systems for research and teaching, supports consultancy activities, and provides