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optimization problems Develop mathematical modeling framework to find the optimal operation strategy Conduct computer programming to verify the efficiency of the designed solution algorithms Analyze data
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models (e.g., YOLO, U-Net, EfficientNet, ResNet, FPN, Fast R-CNN) Computer vision techniques and algorithms Python and relevant libraries (e.g., PyQt, OpenCV, NumPy, scikit-learn), particularly
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to the applications of mathematics in cryptography, computing, business, and finance. PAP covers many areas of fundamental and applied physics, including quantum information, condensed matter physics, biophysics, and
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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
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within and beyond the University. We are looking for a Research Fellow to research on the areas of Robotics and AI using advanced modeling and simulation. Key Responsibilities: Development of a quality
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applies AI to tackle challenges in aquaculture and drug delivery, working at the interface of materials science, biology, and computational modeling. Key Responsibilities: Lead and execute AI-driven
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project team members. Key Responsibilities: To conduct research in support of the CLIC objectives including: Perform computational modelling and analysis of the neuroimaging and behavioural data from
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applications, with emphasis on circuit design, system architecture, and control strategies. Perform detailed modeling and simulation of power electronics circuits and systems to validate design integrity
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successful, support to build the portfolio towards a new Interdisciplinary Research Programme in tidal and other ocean energy resources. The Research Assistant / Research Fellow is to assist the ERI@N Program
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within and beyond the University. We are looking for a Research Fellow to research on the areas of 3D printing technologies using advanced modeling and simulation. Key Responsibilities: Development