232 assistant-professor-computer-science-and-data-"St"-"St" Fellowship positions at Nanyang Technological University
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School of Electrical and Electronic Engineering is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic
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School of Electrical and Electronic Engineering is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic
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metallic components (ferrous and non ferrous). Job Requirements: PhD (or Engineer with minimum 2 years of experience) in materials/mechanical engineering, in the field of solid state material recycling
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and outdoor environments. Mandatory Requirements: Ph.D. in Robotics, Computer Science, Electrical Engineering, or related fields, with a focus on Path Planning, Multi-Robot Systems, or Autonomous
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The School of Materials Science and Engineering (MSE) invites applications for the position of Postdoctoral Fellow. The postdoctoral fellow will conduct research on design and develop nanoscale
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School of Electrical and Electronic Engineering is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic
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progress reports at regular intervals. Present research progress and latest findings periodically. Job Requirements: A PhD degree related to Engineering Design, Information Science, or Systems and Software
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The School of Materials Science and Engineering (MSE) at NTU is seeking a Research Fellow in Fish Immunology and Vaccine Delivery. The successful candidate will investigate the cellular and
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testing data Development of machine learning models for battery health assessment and remaining useful life prediction Job Requirements: PhD degree in Electrical Engineering or related subjects. Expert
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Centre for Advanced Robotics Technology Innovation (CARTIN) is looking for a candidate to join them as a Research Fellow. Key Responsibilities: Develop novel algorithms for multi-agent inverse