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RIE2025. The Laboratory’s objective is to propel Innovation and Technologies commercialisation through NTU’s innovation and NTI’s deep technology. NTI-NTU Corporate Laboratory aligns with Singapore’s
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RIE2025. The Laboratory’s objective is to propel Innovation and Technologies commercialisation through NTU’s innovation and NTI’s deep technology. NTI-NTU Corporate Laboratory aligns with Singapore’s
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scientist looking to apply your expertise to real-world forecasting challenges in Africa? Machine-learning has the potential to revolutionise weather prediction in Africa, and we are seeking a scientist who
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Control Lab at Harvard University, under the direction of Dr. Maurice Smith, is seeking a postdoctoral fellow to study human motor learning and motor control. The lab is in the Harvard Paulson School
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candidate will have a strong interest in the topic of data access, especially with regards to social media or digital data, and a deep understanding of the legal, ethical and infrastructural barriers
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algorithms and models for VRU detection and safety assessment. Utilize deep learning methodologies for video and point cloud object recognition and detection. Implement and optimize GNN architectures
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As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets
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About the Opportunity About the Opportunity: Northeastern University Pharmaceutical Industry Fellowships Program is a two-year experiential program designed to advance lifelong learning and the
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-FATES model using: Snow cover Flux tower data The idea is to combine established iterative ensemble Kalman methods with novel emerging machine-learning-enabled model calibration techniques recently
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) Singapore. The incumbent has freedom to design the nature and type of deep learning simulations. Key Responsibilities: Utilize recently developed mathematical tools from algebraic topology, combinatorial