187 algorithm-development-"Multiple"-"Prof"-"Prof"-"Simons-Foundation"-"U.S" Fellowship positions at Nanyang Technological University
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mentoring of MSc dissertation students and undergraduate research students in their projects Prepare report and conduct presentation at seminars. Assist the school in various teaching activities, including
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. Key Responsibilities: Develop learning-based navigation algorithms for complex environments. Integrate perception and navigation modules into unmanned vehicle platforms using ROS or similar systems
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Responsibilities: Conduct research on the design and analysis of scalable machine learning systems using convex/nonconvex optimization and federated learning methods. Develop algorithms and prototypes
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computer programming to verify the efficiency of the designed solution algorithms Analyze data acquired from the field survey Develop machine learning models for prediction and recommendation Job
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research that covers the energy value chain from generation to innovative end-use solutions, motivated by industrialisation and deployment. ERI@N has multiple Interdisciplinary Research Programmes which
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amplifiers Develop scripts and algorithms for analog IC design Prepare report and conduct presentation at seminars Assist the school in various teaching activities, including instructing or supervision of labs
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or use existing simulation platforms to validate the developed algorithms and models. Analyse simulation data, and create visualizations to support research findings. Design and build prototypes
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diseases and ageing, and have multiple national and international collaborations. Key Responsibilities: Perform tasks and support all aspects of the research project. Conduct accurate monitoring, documenting
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diseases and ageing, and have multiple national and international collaborations. Key Responsibilities: Perform tasks and support all aspects of the research project. Conduct accurate monitoring, documenting
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Responsibilities: Conduct programming and software development for graph data management. Design and implement machine learning models for optimizing graph data management. Conduct experiments and evaluations