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The Department of Electrical and Computer Engineering (ECE) at the National University of Singapore (NUS) is seeking a Research Associate to support research in thermal metamaterials, topological
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of the research project, research may also incorporate advanced optical diagnostics, quantitative image analysis, computational modeling, and remote sensing technologies to improve understanding, evaluation, and
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monitoring. Analyze ambient and anthropogenic seismic noise to infer near-surface properties and detect geohazards such as sinkholes and subsidence. Build scalable pipelines for processing, quality control
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. The successful candidate will lead efforts to develop novel electrical readout, control, and sensing architectures that complement or potentially replace conventional optical detection methods. The research will
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with their biological meaning. The model will combine RGB images, hyperspectral imaging, and X-ray fluorescence mapping of herbarium specimens from the Naturalis collection. A central challenge will be
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potential progression once in post to £48,822 Grade: 7 Full Time, Fixed Term contract up to June 2028 Closing date: 17th September 2026 Background This role is part of the philanthropically funded programme
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of the scientific community. In addition, you have: A completed PhD degree with expertise in computational sciences, life sciences, or a related discipline, ideally with a strong foundation in optics and bioimaging
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, computational modeling, computer vision, natural language processing, or related AI-based methods. Strong programming skills, preferably in Python. Experience working with complex, multimodal datasets and
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learning-assisted computational pipeline for the automated detection of point defects in atomic-resolution scanning transmission electron microscopy (STEM) images. Using monolayer MoS₂ as a model system, the
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for modelled signal characterisation with a wide range of applications that goes from very low Gravitational Wave signals to Gravimetry. Fellowship 5 – Investigation of the electro-optic properties in BaTiO3