91 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" Fellowship research jobs at SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
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the Project PI. ii. Meeting the deliverables by carrying out the computational simulations and experimental studies planned for under the scope of work of the projects within the timeframe to meet the
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/Computer Vision. The experience in diffusion models is a plus. Have a PhD degree in computer science/engineering or related disciplines. Knowledge of autonomous vehicles or cyber security will be
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hydrodynamics. Have a degree in Naval Architecture / Marine Engineering / Ocean Engineering / Other Relevant Engineering Degree. Possessing a Master’s or PhD degree will be advantageous. Experience in any
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development programmes. The fellowship is tenable for one year. On an exception basis, a two-year programme may be supported. Service Commitment One year for every year of sponsorship. Application Process
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offloading strategy via simulations and live demonstrations. Job Requirements A Ph.D degree in Computer Engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly analytical
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development programmes. The fellowship is tenable for one year. On an exception basis, a two-year programme may be supported. Service Commitment One year for every year of sponsorship. Application Process
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& hardware, and quantitative evaluation of energy savings. You will be required to coordinate with multiple internal and external parties for the successful deployment of technology, test-bedding, and energy
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architecture design. Excellent communication and leadership skills, with prior experience in mentoring students or leading small teams. PhD degree in Computer Science, Natural Language Processing (NLP), or a
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development programmes. The fellowship is tenable for one year. On an exception basis, a two-year programme may be supported. Service Commitment One year for every year of sponsorship. Application Process
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research and development in the area of single-cell analysis technology and will also collaborate with clinical partners on the testing and validation of these technologies. Key responsibilities include