289 parallel-and-distributed-computing-phd research jobs at Nanyang Technological University
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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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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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reports and presentations for meetings, progress reports and conferences Any other tasks as requested by the Investigator Job Requirements: PhD in engineering or relevant discipline Demonstrated strong
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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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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
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Performing CO2 adsorption and mixed-gas separation performances Job Requirements: PhD from a reputable university in the field of chemistry, chemical engineering, materials science or other related disciplines
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updates to principal investigator and funding agency Report writing/presentation Job Requirements PhD degree in an engineering field related to this project Experience in dynamic modeling, machine learning
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forward the use of phase field models in earthquake rupture dynamics and fluid-driven fracture processes. The project bridges applied geophysics and computational mechanics, and is jointly developed with
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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