20 virtualization-"https:"-"https:"-"https:"-"IFM" Fellowship research jobs at Nanyang Technological University
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investigation of boundary-layer behaviour, near-wall flow structures and drag-reduction performance on solid models. Set up, operate and optimise wind tunnel experiments and associated diagnostics, including
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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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and international conferences and workshops to present the results of the project to a wider audience and to learn about current advances in the field. Any other duties appropriate to the grade as
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strengthen the collaborations between CCEB and academia and industry in Malaysia. The Research Fellow will take on a significant role in research about photo(electro)catalysis for energy and environmental
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to present the results of the project to a wider audience and to learn about current advances in the field. Any other duties appropriate to the grade as delegated by the Principal Investigator Job Requirements
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for hypervisors, operating system kernels, and virtual ECUs, contributing to secure and reliable automotive software systems. Key Responsibilities: Design and develop advanced fuzzing frameworks for automotive
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will directly contribute to the development of applied energy technologies with strong industrial relevance and near-term deployment potential. Key Responsibilities Develop CFD models for thermal
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assistants where appropriate. Key Competency and Qualifications Requirements: PhD (or PhD near completion) in Computer Science, Finance, Economics, or a related quantitative discipline. Strong training in
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Degree in mathematics or computer science with strong publication track records. PhD candidates who are about to submit their thesis for examination or have submitted their thesis for defence are also
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have the ability to be excited about working in a diverse lab group setting, plan and conduct assessments independently and collaboratively, interpret data, and present results to diverse audiences