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polarization states. • Data Analysis & ML: Develop Python/MATLAB machine learning algorithms to map photocurrents to full Stokes parameters, targeting a reconstruction error of \(<1\%\). Required
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applications including asset pricing, volatility modelling, risk management etc. Developing the framework of economic world models, with generative AI algorithms such as diffusion models and theory-informed
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Job Description We are looking for a Research Fellow under the National University of Singapore (NUS) to support a project investigating the fundamental theoretical and algorithmic performance
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methods for additive manufacturing applications, including ANNs and evolutionary genetic algorithms for process optimization supported by programming knowledge (e.g. Matlab, Python). Hands-on experience
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at least one of the following fields: approximation of neural networks, convergence of Langevin/MC sampling, analysis and algorithm design of interacting particle systems, operator learning, regularity
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. The successful candidate will assist in developing novel algorithms and integrating them into robotic platforms, helping to push the boundaries of embodied intelligence in both research and practical deployment
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Job Description • Develop dynamic models and simulation frameworks for a novel pier-free telescopic coastal barrier system. • Design and implement coordinated control algorithms
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on robotics and automation within the construction and built environment. The successful candidate will play a key role in developing an algorithmic solution for robotics that integrated with Building
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the correctness, robustness and reliability of deep neural networks and AI-enabled software systems. Job Responsibilities: Develop novel methods and algorithms for the verification, testing and robustness analysis
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, which have the clinical value in the real-world employment. • To develop novel models and algorithms for 2D or 3D medical vision tasks, such as surgical scene segmentation, depth estimation, etc