19 computer-engineering-network 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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delegated by the Principal Investigator Job Requirements PhD degree in Electronic Engineering, Computer Science, or related field Knowledge of pinching antennas, wireless communications, and machine learning
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About SCELSE The Singapore Centre for Environmental Life Sciences Engineering (SCELSE) is a leading interdisciplinary research centre jointly hosted by Nanyang Technological University (NTU) and the
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Mechanical Engineering, Aerospace Engineering, Materials Science, Computational Engineering, or a closely related field. Strong background in heat transfer, fluid mechanics, thermal management systems, and
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PhD qualification degree in Electronic Engineering or Computer Science Familiarity with pinching antennas and machine learning Good written and oral communication skills Proficiency in python
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computational chemistry, reaction network analysis, and machine learning for organometallic catalytic reactions. 2. Design of membrane-permeable macrocyclic peptide drugs via machine learning structure
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-based technology Experience in the field of network technology, SCADA systems and protocols, balance of plant (relay protection, etc.) A hands-on attitude towards electrical grid integration of energy
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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
-
computational chemistry, reaction network analysis, and machine learning for organometallic catalytic reactions. 2. Design of membrane-permeable macrocyclic peptide drugs via machine learning structure
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and PhD students on computational mathematics and AI methodologies. Job Requirements: A PhD degree in Applied Mathematics, Computer Science, Engineering, or a related quantitative field. Deep expertise