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) experience in large model training, knowledge distillation or efficient deep learning algorithm development, foundation model implementation and optimisation; and (c) good communication skills in English
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Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a
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will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and
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learning-based computer vision algorithms and software for object detection, classification, and segmentation. Key Responsibilities Participate in and manage the research project together with the PI, Co-PI
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Department of Computing Postdoctoral Fellow (three posts) (Ref. 260422009) [Appointment period: each for twelve months] Duties The appointees will assist the project leader in the research project
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numerical simulations of complex dynamic systems, e.g. turbulence, hurricane. The duty of the role is within the range of: 1) developing novel algorithms on data analyses and data mining, e.g. Large Models
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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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differentially private learning, its connections to replicability of algorithms, and algorithmic fairness. Basic Qualifications Candidates are required to have a doctorate or terminal degree in Computer
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deep learning algorithms to enable robotic arms to perform complex tasks guided by natural language instructions. Experiment with and deploy vision-language-action models on robotic platforms
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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