225 parallel-and-distributed-computing-phd 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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tutorials. Assist in mentoring and guiding students in projects and competitions. Job Requirements: MSc/Meng (Research Associate) or PhD (Research Fellow) in Electrical Engineering, Computer Science, or other
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involving speech/audio, images, and video along with text-based applications. Job Requirements: MSc (Research Associate) or PhD (Research Fellow) in Electrical Engineering, Computer Science, Statistics
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crystal, powder and pair distribution function. With knowledge and experience of advanced quantitative Rietveld, in-situ measurements and PDF analysis. Deliver courses on X-ray diffraction and X-ray
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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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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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countries in Southeast Asia, that are supported by the EOS Centre for Geohazard Observations, as well as a Remote Sensing Lab (EOS-RS). Computational resources are available through a dedicated cluster and
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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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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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writing/presentation Job Requirements PhD degree in an engineering field related to this project Experience in dynamic modeling, machine learning and optimization & controls Having basic knowledge in carbon