244 phd-studenship-in-computer-vision-and-machine-learning Fellowship positions at Nanyang Technological University
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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fabrication High frequency characterization of fabricated passive devices Work together with collaborators on waveguides design Draft research papers for academic journals Mentor new manpower (PhD or FYP
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Draft, submit and revise manuscript on metagenomic analysis for publication Requirements: PhD in related field; Environmental or Biological Sciences Hands-on experience in geothermal microbial ecology
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. Contribute to grant applications, project management, and laboratory safety. Mentor junior researchers and provide technical support on device-related experiments. Job Requirements: PhD in Electrical
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products. Apply the knowledge to correlate results / system operation. Set-up and monitor the performance of systems Job Requirements: PhD degree in a relevant Science or Engineering field Strong analytical
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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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or supervision of labs and tutorials. Job Requirements: MSc/MEng (Research Associate) or PhD (Research Fellow) in Electrical and Electronic Engineering or other related fields. Expertise in RFIC design, including
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Responsibilities: Development of stochastic and analytical methods for nonlinear partial differential equations Implementation of relevant numerical experiments using deep learning algorithms Job Requirements: PhD
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Development of new multidomain simulation platform for electric motor drives Development of new fabrication methods for electric motor drives Experimental testing for motor system Job Requirements: PhD degree
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: PhD in the field of Polymer Chemistry. Ability to work independently and as part of a team with strong initiatives. Good communication and interpersonal skills. Good synthetic experimental skills