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, please view https://www.ntu.edu.sg/cartin . We are looking for a Research Fellow to Develop Localization and Perception System based on Multi-sensor Fusion. The role will focus on developing localization
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and analytics. The post holder will develop new optimisation models and algorithms to support operational and real‑time decision making in disaster response contexts, with the aim of improving resource
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research in MAE addresses the immediate needs of our industries and supports the nation’s long-term development strategies. In the new era of industrial 4.0 and sustainable living, MAE is rigorous in
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on computer vision. The role involves developing and advancing novel algorithms for emerging challenges in computer vision, including continual learning and few-shot learning. The candidate is also expected
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School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee We are looking for a Research Fellow to support
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of FCiências.ID - Association for Research and Development of Sciences at https://fciencias-id.pt/ . Time limits for the appeal procedure: In case of negative decision, the candidates have 10 business days, after
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prediction algorithm and molecular dynamics simulations. For more details, please view https://www.huilingshaogroup.com/. We are looking for a Postdoctoral Research Fellow to design and execute independent and
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settings. Develop and test algorithms for object detection, tracking, and classification using wireless sensors. Help guide and mentor graduate students and other junior team members working on the project
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in the 2025 QS World University Rankings by Subjects. We are hiring a Research Fellow in Signal Processing and Machine Learning to develop signal processing and machine learning algorithms and methods
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of Computation Group, seeks applicants for a postdoctoral fellowship to conduct research in differentially private learning, its connections to replicability of algorithms, and algorithmic fairness. Basic