244 parallel-and-distributed-computing-phd Fellowship positions at Nanyang Technological University
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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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for presentation of research to relevant stakeholders Job Requirements: PhD from an internationally recognised university in Psychology or Education or related fields; specialisations in Quantitative Psychology and
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involve algorithm development, simulation, test rig set-up, and experimental validation. Job Requirements: The candidate must at least have a PhD Degree in Mechanical Engineering, Automation, Control
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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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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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. 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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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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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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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