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and validate computational models related to energy applications Interface closely with experimental collaborators to guide synthesis and characterization Contribute to drafting publications and
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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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on Phase Field modelling and High-Performance Computing (HPC) for geophysical applications. The Asian School of the Environment (ASE) at Nanyang Technological University is an interdisciplinary school
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Job Description Job Alerts Link Apply now Job Title: Research Fellow (Mathematical&Economic Modelling of Infectious Diseases) Posting Start Date: 21/08/2025 Job Description: Job Description
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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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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
team. The successful candidate will work at the intersection of drug development, regulatory science, and advanced computational modeling. This position will involve integrating mechanistic modeling 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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forward the use of phase field models in earthquake rupture dynamics and fluid-driven fracture processes. The project bridges applied geophysics and computational mechanics, and is jointly developed with
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”. They will be required to: (a) collect and organise relevant data; (b) perform data analysis on functional magnetic resonance imaging (fMRI), brain stimulation and computational modelling data; (c
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, attention-based models, and multi-modal learning approaches—to model RNA-mediated regulatory mechanisms and their dynamic interactions in disease. The position is part of an NHMRC Ideas Grant project